CDRC

Lead Research Organisation: University of Leeds
Department Name: Sch of Geography

Abstract

Describe the proposed research in simple terms in a way that could be publicised to a general audience (up to 4000 chars)
Social science is concerned with understanding human behaviour patterns. These patterns are increasingly revealed through data which are captured by retailers and other commercial organisations. Example sources of these data include store loyalty cards, smart energy meters, mobile telephone logs, vehicle registrations and smart tickets for trains and buses. The data are not just interesting to academics, they can provide important insights for delivering health care, building houses or roads, and producing sustainable goods and services with reduced environmental impact. This project seeks to develop new approaches to social science research which are needed to exploit new sources of consumer data. The ethical use of data for the public good and protecting the privacy, confidentiality and personal rights of individual consumers is of paramount importance.
This research is different for a number of reasons, for example, because activities can be examined continuously and in real time. In the past, a social scientist might have studied 'typical' commuting flows from a residence to a workplace. Now it is much easier to look at multi-purpose activities or trip-chaining in a single day e.g. delivering children to school, going to work, visiting the gym, having a coffee and doing the shopping before returning home. It requires new methods from artificial intelligence and data science which the project will help to develop. These methods are recognised by governments and business as crucial to future well-being and economic prosperity because data are now so widespread and their content is so revealing.
The outcomes from the project will include novel publications appearing in the scientific literature, but the research will also help businesses and government to plan more effectively, and it will train the next generation of students and research professionals in the applications and analysis of new and emerging forms of data.

Planned Impact

The project will have impact on business at both an operational and a strategic level. CDRC's ladder of engagement provides multiple touchpoints between research and implementation e.g. supervision and advice for PhD and MSc projects, interns working with commercial partners, attendance at training courses and seminars, co-production and delivery of academic content, data challenges and project support. In essence, all of these provide mechanisms for new skills, methods and insights to flow more easily across the boundaries between universities and industry. A good example from Phase 1 would be outcomes from a PhD project analysing point of sale data and customer transactions (loyalty card data) for a major supermarket, ;leading to new understanding of space-time signatures for different micro-locations, with implications for store design and format optimisation for new or existing stores, and acquisition/ valuation of new sites.
At a more strategic level, we will offer advice to industry groups and trade organisations e.g. building on established relationships with the Demographics User Group, Strategic Location Association, Market Research Society and our own CDRC User Forum. We will also continue to host international visitors and delegations to maximise awareness of applications to extract greater value from consumer data assets e.g. groups from China, India, Malaysia and the Baltic States have all been hosted within the last 12 months.
We have educated many students through a new MSc programme in consumer analytics, most of whom have progressed to employment in business, and we plan to develop a new MRes programme to encourage upskilling of existing staff around more intensive research-based training and project work.
CDRC's thematic research priorities are strongly aligned to central government interests, especially in health and transport. Our work is especially relevant to local government needs e.g. in housing, transport and social care. We will continue to provide advice to government through written evidence (e.g. Industrial Strategy, UKRI Roadmap), verbal evidence (Social Media Select Committee), participation in expert reviews (Bean Review, UK Parliament, Scottish Parliament, Government Office for Science) and bilateral meetings (Department for Transport, HMRC). On occasion we will arrange joint events e.g. ONS Big Data Workshop. We will also continue to deliver specific tools which support policy e.g. the Propensity to Cycle Tool commissioned by DfT, HABITS (with Newcastle City Council) and SPENSER (ongoing development for the National Infrastructure Commission) and other outputs from joint research projects (e.g. Ipswich, Coventry, Oxford Councils supported by journey planning apps in CATCH!). Whilst above examples are all from Phase 1, we expect relationships of this type to continue and grow in Phase 2.
We also expect ongoing international impact as the UK continues to lead the world in exploitation of consumer data for research e.g. advice to the Sloan Foundation, NSF, German Data Forum, EU-Nectar, Chinese Embassy, Malaysian Communications and Media Commission, British Embassy (Washington), Chinese Office for National Statistics.
We will seek to influence public policy in a positive way e.g. by presenting our research in an interesting and accessible way (through events like Be Curious, Leeds Digital Festival); by the creation of new research, especially on the theme of lifestyle cohorts; by appearance at public events e.g. British Academy, Leeds Data Salon; and through media including TV, internet and print.

Organisations

Publications

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A Keeley (2019) AirBNB Property Rentals and Reviews: Data Profile

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Addis N (2019) Exploring the practices of steal-to-order burglars: a different brand of offender? in Security Journal

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Aldred R (2019) Barriers to investing in cycling: Stakeholder views from England. in Transportation research. Part A, Policy and practice

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Andresen M (2020) Minimum geocoding match rates: an international study of the impact of data and areal unit sizes in International Journal of Geographical Information Science

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Ang D (2019) Difference in new product adoption among at-risk members of society: A critical analysis of males, females, and transgender individuals in Personality and Individual Differences

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Arnold KF (2019) DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference. in International journal of epidemiology

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Barkemeyer R (2023) Eco-labels, conspicuous conservation and moral licensing: An indirect behavioural rebound effect in Ecological Economics

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Beckers J (2021) Incorporating e-commerce into retail location models in Geographical Analysis

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Beckers J (2021) Incorporating E-commerce into Retail Location Models in Geographical Analysis

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Birkin M (2019) Creating a long-term future for big data in obesity research. in International journal of obesity (2005)

 
Title Internal Migration - Data Visualisations 
Description Series of graphic visualisations developed by Information and Graphic Designer, Herwig Scherabon. The posters visualize CDRC data from Whenfresh/Zoopla, providing the public with easy to understand visuals that convey the insights of the data on internal migration. 
Type Of Art Artwork 
Year Produced 2016 
Impact We are currently awaiting approval from Whenfresh/Zoopla to release to the media/general public 
 
Description CDRC-Leeds has delivered research findings across all of its core research themes, which are: Health and Wellbeing; Urban Mobility; Retail; Population, Housing and Infrastructure; Crime and Emergency Services and Ethical and Sustainable Consumption. Up to and including March 2024, these research themes have produced findings and outputs that can be grouped as follows: COVID research findings (across health and wellbeing; retail; urban mobility; and population, housing and infrastructure themes); research findings from collaborative research with supermarkets (across health and wellbeing; retail; and ethical and sustainable consumption); emerging research findings in crime and emergency services; creation of data partnerships (data stored/shared through CDRC's Data Store) and other research partnerships; the provision of access to new data sets and the development of new derived data products for researchers within and outside academia; and other non-academic outputs.

Retail
Since 2021, CDRC Co-I, Prof Michelle Morris, had led a collaborative research project with the Institute of Grocery Distribution (IGD) to identify and test strategies to help shift consumers towards affordable, healthier, and more sustainable diets using behaviour change levers. Research priorities are set in collaboration with IGD's Industry Nutrition Strategy Group (INSG), composed of senior nutritionists from leading companies throughout the food industry. CDRC then analyses retailer data (the sharing of which is negotiated individually with retailers) using a variety of data science methods, including interrupted time series (ITS) analysis. CDRC Senior Research Data Scientist, Dr Fran Pontin, has developed a highly innovative Eatwell algorithm that matches purchased items to the Government-recommended Eatwell diet, which is both healthier and more sustainable. To date, research findings from our collaborations with four supermarket retailers (Sainsbury's, Asda, Lidl, and M&S) have been made publicly available via IGD reports.

In Sainsbury's 60p fruit and veg trial, we saw a 78% uplift on promoted products in 2020 and 56% during the January 2021 COVID-19 national lockdown, compared to the baseline year. All fruit and vegetable sales increased during intervention, regardless of whether they were on offer, resulting in 4.9 additional portions sold across both interventions. In other research with Sainsbury's, we noted that when using Healthy Start top-up vouchers, shopping habits shifted positively towards the Eatwell Guide. This included: 13 extra portions of fruits and vegetables; 12% more fresh fruit; fewer composite dishes; fewer discretionary products; and less protein rich-food. Healthier habits continued after the trial finished, and focusing on the uptake of top-up vouchers revealed further opportunity for expansion/intervention: half of eligible customers used a top-up voucher only once during the six-month trial, and just 2.5% of customers used the voucher 15 or more times. Analysis of Asda's trial on placement of vegan alternatives showed sales of relocated products declined by 30% and shoppers did not switch to other food categories. With M&S, we found that changing the placement did not lead to increased salad sales, but that M&S shoppers are already purchasing in line with the Eatwell Guide. The DIO-Food grant, awarded in 2023 to Morris, Dr Vicki Jenneson (former CDRC PhD student), Pontin, and Dr Emily Ennis (CDRC Research and Impact Manager), extends the work with supermarket retailers focusing on the effectiveness of the implementation of the Government's legislation around pricing and location of foods high in fat, salt, and sugar, in England.

The IGD collaboration has enabled a number of CDRC researchers to contribute to industry-facing research. This way of working was celebrated in Morris and the Nutrition and Lifestyle Analytics sub-team winning an ESRC Celebrating Impact Prize in 2023 for their Outstanding Business and Enterprise impact. However, this collaboration has also drawn on the expertise of other CDRC researchers. For example Co-I Prof William Young has worked with retailers on green labelling. From 2022 onwards, both Young and Research Fellow, Dr Susan Lee have been part of IGD's work around green labelling and carbon footprinting, providing clear research direction where there is a global lack of data around food carbon emissions, and in the wake of many retailers facing claims of "greenwashing".

CDRC research in the retail domain extends beyond supermarkets. CDRC Research Fellow, Dr Stephen Clark, has published findings on the decline of British pubs according to neighbourhood type. In 'An exploration of recent trends in the number of British pubs and how these vary by neighbourhood type', published in The Geographical Journal (2023), Clark et al. concluded that there were clear differences in the number of pubs based on their location and function and that the decline in pub numbers is more pronounced in rural areas, particularly remoter communities. Overall, the findings indicate that urban areas are more likely to maintain and increase their number of pubs, while those in affluent suburban and rural areas are more likely to experience closures. However, the impact of these closures may vary.

Furthermore, Clark, along with CDRC Co-I Dr Andy Newing and PI Prof Mark Birkin conducted research into retail banking closures within the UK (Retail banking closures in the United Kingdom. Are neighbourhood characteristics associated with retail bank branch closures? Transactions of the Institute of British Geographers, 2023). They found that branches that are part of a building society generally have a lower risk of closure than the traditional commercial banks. But a company that is undergoing consolidation after a merger shows higher risk of closure. Moreover, bank branches are, on average, more likely to close when there is a nearby Post Office outlet that is able to substitute for some of their services, especially as the Post Office network is more extensive in the UK than the combined branch network of all the retail banks. However, restricted Post Office opening hours in many rural localities, Post Office closures, and the limited range of banking tasks that can be completed at a Post Office, may limit the extent to which the Post Office is a viable substitute for bank branch closures, even though the government has made a commitment to maintain the Post Office network with the overall number of branches increasing in 2021-22, and the overall number of branches stable in comparison to 2015-16. Finally, as with Clark's discoveries with British pubs, there is evidence that retail bank branches are more at risk of closure in rural neighbourhoods, with an additional increased risk in some affluent neighbourhoods as well. The least at risk of closure being branches located in urban cosmopolitan neighbourhoods, with workplace zones (with a concentration of employment, particularly those that are linked to retail activities or of a high-end nature), the least at risk of closure.

Beyond the high street, CDRC has led and continues to lead research into traditional market spaces. Newing worked with colleagues from the School of Geography at the University of Leeds to explore the role of traditional retail market spaces in meeting food demand in food deserts (Andy Newing, Graham Clarke, Myfanwy Taylor, Sara González, Lisa Buckner & Rosie Wilkinson (2023), 'The role of traditional retail markets in addressing urban food deserts', The International Review of Retail, Distribution and Consumer Research, 33:4, 347-370). Their analysis of comprehensive survey data and accompanying focus group insights highlighted the importance of traditional retail markets, such as Newcastle's Grainger market, as a source of affordable and accessible quality fresh food. This is particularly true for consumers classified as 'vulnerable' including the elderly, those from lower-income households and those living in relatively more deprived neighbourhoods. The analysis further identified that in the case of Grainger market, users are more likely than people living in its catchment area as a whole to come from lower social grades, to lack access to a car, to live in the most deprived neighbourhoods and to be pensioners living alone. As with Newing's other CDRC research into food deserts (see further: E-Food Desert Index), the research also explores users' propensity to shop online. Findings from this research strongly suggest that traditional market users show a low propensity to shop online. All data collected by the broader research project are available for wider research via the CDRC Data Store for other researchers to use.
Work exploring the role of traditional market spaces continues within CDRC, with Dr Ennis, and Prof Sara González (School of Geography) having been awarded a University of Leeds Policy Support Fund grant in 2023 to help Leeds City Council better understand the role of traditional market spaces in Leeds. This research brings together a CDRC output - the food carbon footprint calculator - and qualitative research experience of González and Ennis to understand how food culture, purchasing habits, and the environmental sustainability of the Leeds markets overlap.

Accessing healthy and sustainable diets
Much of CDRC's work in the retail sector targets food providers as part of its commitment to researching healthy and sustainable diets. In addition to the work with IGD listed above, CDRC colleagues Pontin, Dr Rachel Oldroyd, Clark, and Prof Nik Lomax, have worked with PhD student Tamara Garcia del Toro looking at online food delivery platform usage. Garcia del Toro is a former Data Scientist on the Data Scientist Development Programme at the Leeds Institute for Data Analytics (LIDA), funded by CDRC. In their research ('Customer trends in take-away purchasing: Geospatial patterns of online food delivery platform usage in UK output areas', (2023) International Journal of Population Data Science), they found that demographic markers of affluence were highly associated with a higher median basket price and lower order frequency. Conversely, the research found that more deprived populations have a higher number of orders with lower basket prices, and that higher order frequency is associated with a higher number of orders to restaurants which cuisine type is defined as "burgers".

This work clearly demonstrates dietary inequalities as a direct result of measures of household deprivation. The connection between access to food and the socio-demographic barriers limiting that access is one of the key research areas explored in CDRC's Priority Places for Food Index (ver. 1 2021; ver. 2 2023). Priority Places for Food Index (PPFI) draws on a variety of CDRC-controlled and open data sources to rank neighbourhoods in the UK (approx. 650 households) based on their access to food and their food insecurity. These data span 7 domains, 4 of which constitute "access" to supermarkets and other food providers (=50%), and 3 of which constitute "obstacles" to accessing those food providers (=50%). These 7 domains are: proximity to supermarket retail facilities; accessibility to supermarket retail facilities; access to online deliveries; proximity to non-supermarket food PROVISION (including markets); socioeconomic barriers (e.g. income and access to a car); fuel poverty (e.g. energy prices and efficiency data, those on energy prepayment meters); and family food support (proximity to food banks, eligibility for free school meals and healthy start voucher uptake). The PPFI is interactive and has already become indispensable for local governments and policymakers, who are working hard to minimise the obstacles for those in the higher priority areas, particularly as part of localised health policies such as local food strategies. The 'Big five' supermarkets - Tesco, Asda, Sainsbury's, Aldi and Morrisons - have a combined 74.4% market share in the UK (Kantar, 2023). Looking at the data generated by PPFI, within the top 10% Priority neighbourhoods for food insecurity across the UK, there are only 122 of these Big 5 supermarkets. By comparison the lowest Priority neighbourhoods for food insecurity contain over 3.5 times as many 'Big Five' supermarkets. This suggests that areas most at risk of food insecurity are under-served by the UK's top 5 supermarkets, either contributing to, or exacerbating, the risk of food insecurity. When we look at the distribution of Big 5 large- and medium-sized supermarket stores across the PPFI Deciles, we also see some retailers such as Morrisons and Asda have a larger proportion of their stores in higher priority deciles, therefore providing more affordable food choices to these communities. Conversely, the large proportion of Tesco and Sainsbury's supermarket stores, which typically have a higher price point, tend to be located in low priority areas for food support. However, access to food is not the key driver in food insecurity. Following feedback from the London region of The Office for Health Improvement and Disparities (OHID), former CDRC Lead Data Scientist, Dr Peter Baudains was able to adjust the Index within London based on the assumption that provision of food outlets did not mean access to healthy and affordable food. The justification for this change in assumption was the relative size of supermarkets within the Greater London area, which suggested that these food outlets likely had a higher price point than the food provided in larger outlets within the same retail brand. By down-weighting the access data domains to 1/3 rather than 1/2 of the Index's calculations, Baudains was able to demonstrate that the highest priority places remain high priority even after access to supermarkets becomes less significant to the calculations. Importantly, reweighting the Index to limit the effect of access to food locations also demonstrates that there are high areas of need that are currently being obscured by their proximity to food outlets. This demonstrates that in those priority places there are significant barriers to accessing affordable food that are likely not impacted by the proximity of food outlets.
Further analysis by Pontin and Ennis showed that when looking at the highest priority 10% of neighbourhoods in England, across the seven index domains by urban/rural location of the neighbourhood, 60% of neighbourhoods with poor proximity to supermarket food and 57.7% of neighbourhoods with poor proximity to markets and convenience stores are classed as 'rural village and dispersed communities', despite these neighbourhoods making up only 0.6% of the LSOAs in England. Conversely for affordability barriers we see those living in 'urban major conurbations' make up 66.6% of the highest priority neighbourhoods for socio-demographic barriers, 57% of the highest priority neighbourhoods for Family food support and 56% of neighbourhoods for fuel poverty. Finally, we see neighbourhoods in urban cities and towns, typically small cities and large UK towns, tend to make-up a substantial proportion of all top priority domains (9.6-43.8%). This demonstrates that there is an accessibility split between urban and rural locations, with rural areas less likely to have food accessible to them. However, there is also a split in terms of sociodemographic obstacles to accessing food between urban and rural areas, with urban areas most likely to have barriers that limit their ability to afford food. Additionally, smaller UK cities and towns risk scoring poorly for both access and affordability barriers to healthy and affordable food. In 2023, Pontin and Ennis began the supervision of a research project on the LIDA Data Scientist Development Programme (DSDP) exploring how food insecurity maps on to adverse health outcomes in the UK, in order to determine the correlation between the two.

COVID
CDRC continues to be a leader in health-focused spatial geography research. In 2019/20, CDRC demonstrated how data could rapidly be made available and analysed to meet the informational and capacity needs of the COVID-19 pandemic. This was made clear in our dedication to collaborations such as Emergent Alliance and RAMP, spearheaded by Professor Mark Birkin. In 2022, a meeting organised by and at the Royal Society brought together key advances and outcomes this two-year work project. The meeting included keynote presentations, panel discussion and posters, with panel members including Sir Patrick Vallance as Chief Scientific Adviser to Government. In 2021/22, we saw an increasing overlap between the CDRC's pre-existing areas of interest, such as in retail and healthy lifestyles, and COVID-19 research. In particular, CDRC was able to use the DSDP as a way of resourcing short-term, maximum-impact projects designed to answer key questions around COVID-19. The Local Data Spaces (LDS) project - run in collaboration between the CDRC-Leeds and CDRC-ULO, the Joint Biosecurity Centre (JBC), the Office for National Statistics (ONS) and ADR UK - engaged with 25 local authorities to better understand local priorities, contexts and research needs. This project received an ONS Research Excellence award in recognition of how it mobilised centralised secure data for the benefit of local policymakers across the country. A second DSDP project generated similar levels of insight used mobility data provided by Spectus.ai (part of Cuebiq's Data for Good initiative) in order to show the levels of adherence to lockdown policies between March 2020 and April 2021, with blog coverage focusing on the 2020 Christmas lockdown in England. This research was published as 'Household visitation during the COVID-19 pandemic' in Scientific Reports in November 2021, and has since been picked up by over 110 news outlets across the globe (e.g. The India Express, The Times of India, Nature Asia), and posted about globally by Twitter users in Japan, United States, Italy and India, among others. The research gained particular momentum during the 2021 festive period and again in February 2022 when England removed all COVID restrictions. This publication is in the top 5% of all research outputs scored by Altmetric. Another COVID-19 DSDP project, led by Tom Albone, 'Measuring Ambient Populations during COVID in Leeds City Centre' found that urban footfall and ambient population was significantly impacted by COVID-19 lockdown policies (as was intended), and that closure of indoor entertainment and non-essential retail appeared to be the most important lockdown-related factors in predicting footfall change. These preliminary findings were delivered to Leeds City Council (LCC), and will continue to benefit commercial and retail, governmental and policy, public, and academic stakeholders throughout the post-COVID period of economic recovery.

Emergency Services
In addition to health-focused research, CDRC continues to grow research expertise in the crime and emergency services theme. CDRC has supported, through the Data Service, the Recounting Crime research project, led by Prof Ian Brunton-Smith (University of Surrey), Dr Jose Pina-Sánchez (University of Leeds), Dr Alexandru Cernat (University of Manchester), and Dr David Buil-Gil (University of Manchester). There were three aims to this project: 1) Understand the measurement error mechanisms affecting crime data; 2) Combine crime survey estimates and police recorded crime counts; and 3) Generate bespoke adjustments and estimate corrected crime counts. CDRC continue to explore the best way to support this research further, including exploring whether new and recounted crime data can become a CDRC data product, and whether or not bespoke data training can be provided to the emergency services to recalibrate their data collection. CDRC Partnerships Development Manager, Francesco Mattiello continues to foster relationships within the emergency services. CDRC has also developed a strong relationship with the ESRC-funded Vulnerability & Policing Futures Research Centre (led jointly by Universities of Leeds and York) through the DSDP, which has resulted in the Centre funding roles protected for women and Global Majority candidates on the DSDP for the next 5 years. This will inevitably result in further research findings under this theme. Finally, a CDRC-funded 2023/24 Data Scientist Development Programme project, titled 'Realtime Wildfire Risk Mapping', aims to create a web-based wildfire risk mapping tool, utilizing fine-resolution data to generate spatially distributed measures of relative wildfire risk. With wildfires increasing in frequency and complexity, the tool integrates various factors into GIS-mapped layers, allowing users to explore risk under different weights. The project, led by West Yorkshire Fire and Rescue Service (WYFRS), establishes workflows for dynamic data integration, provides a spatial back-end for process-based models, and fosters collaboration with key stakeholders, including WYFR, Natural England, the Moorland Association, and academic experts to enhance wildfire risk assessment and management.

Data partnerships
The partnerships we forge and strengthen at CDRC are part of our core research outcomes. As a data service, we work with 30+ data owners to make consumer data available to trusted researchers, Europe-wide, allowing a broader cohort of researchers to use such data to solve real-world problems. In 2021, CDRC-Leeds received an updated Whenfresh/Zoopla dataset which includes 2020-21 data. This has been pivotal to the work of Clark, who has published extensively on the interactions between rental prices and shopping behaviours (see: Clark S, Hood N, Birkin M. 2022. 'Identifying the effect of retail brands on private residential rental prices in Great Britain'. Journal of Housing and the Built Environment. 37(3), pp. 1489-1509 and Clark S, Hood N, Birkin M. 2021. 'A hedonic model of the association between grocery brand provision and residential rental prices in England'. International Journal of Housing Markets and Analysis. 14(4), pp. 680-700). We have also received updated data from MIAC Analytics (Feb 2022) and a renewal and refresh of the Fuell activity dataset (Dec 2021) and continued access to data from Spectus.ai. In 2023, CDRC also received data from Compass Connected Car Vehicle Trajectories and Behaviours. The dataset is composed of vehicle trips undertaken across the UK during the month of October 2023. The dataset contains vehicle trips carried out across the UK. The dataset includes >4.3 million trips made by >930,000 vehicles. The dataset comprises vehicles of different types and sizes for commercial and private transportation. One of CDRC's most popular data sets made available by our partners is AirDNA Data (2023 - Still Active). CDRC also works with data from external organisations using the Leeds Analytics Secure Environment for Research (LASER) provided by Leeds Institute for Data Analytics (LIDA), and does not make these data available for other researchers. Data shared with CDRC in this way include all data provided by our retail partners under the IGD collaboration.
In 2022-23, CDRC expanded its reach through its development and launch of derived data products (see below for more information). These have been the result of, or have resulted in, partnerships or intentions to collaborate with a significant number of new organisations. These include: Which?, Food Foundation, Office for Health Improvement and Disparities (OHID), Statistics Norway, Good Food Oxfordshire, Veg Power, Birmingham City Council, DEFRA on Modelling Agri-Environmental Scheme, Office for National Statistics Methodology Division, as well as additional supermarket researchers and out-of-home food providers. CDRC also has a Master Collaboration Agreement (MCA) with Asda, which has enabled us to work together quickly and easily across a range of research projects, as well as to lead joint research priority-setting workshops, such as Ideathons and Hackathons. These partnerships are in addition to previous and well-established partnerships between CDRC-Leeds and stakeholders. Building on the success of the Local Data Spaces project, in collaboration with CDRC-ULO, the JBC, ONS and ADR UK, CDRC have initiated discussions with other data providers. Birkin has been a key stakeholder and advisor in discussions with Leeds City Council as they establish their Office for Data Analytics, and Lomax is part of an advisory group to the Ministry of Justice in data ethics and governance, as well as Member of the Data Analytic Facility for National Infrastructure Strategy Board. In September 2021, Birkin was part of a joint meeting with ONS, ADR UK and The Urban Big Data Centre (UBDC), which resulted in a 'harmonisation statement' between CDRC and UBDC relating to data acquisitions. We expect stronger connections in future through the Smart Data Research UK funding call. Clark, along with Pontin, also worked with UK Biobank physical activity data to analyse large-scale physical activity behaviour patterns using unsupervised machine learning methods. This novel use of data from another research repository has been an invaluable way to develop collaborations across institutions and with external partners like Fuell.

Work with one of our large retail partners has taken place on a range of projects across CDRC, including PhD projects and DSDP projects, and this collaboration has provided a platform from which further partnerships can be brokered. As an example, 2020-21 DSDP Data Scientist Rosalind Martin met with FoodDB at Oxford University to discuss approaches to calculating Fruit, Veg and Nut content from back-of-pack ingredients in order to develop a means of classification for a nutrient profile model (NPM) calculator (see below for information on its launch). For this project, Martin worked with not-for-profit GS1 UK and presented the digital output of the project to policymakers at the Office for Health Improvement and Disparities (OHID). The PhD project connected with this research, led by Jenneson, has been pivotal to managing the online relationship with this retail organisation and resulted in a policy report which gained significant recognition with policymakers in 2021 in the development of the new NFS.

Building on the ongoing collaboration between Leeds City Council and the University of Leeds through the University's Civic Collaboration (Birkin also sits on the Collaborations Reference Group between University of Leeds and Leeds City Council), CDRC has reacted at pace to forge a new partnership with the Sustainability, Catering, Food strategy, Markets, and Policy groups within the Council, across a variety of projects. One such project used data from Council-provided school meals to create a digital carbon footprint tool which will help inform the Council's decision making as part of their net zero strategy. CDRC provided strategic COVID-related underspend to rapidly resource this project from among its cohort of former DSDP Data Scientists. The digital tool developed by Alex Dalton is now being used by colleagues within the Council to develop low-carbon eating initiatives. Through this partnership, CDRC have also been able to grow new relationships with other Council-affiliated organisations, such as the educational charity Rethink Food, the National Farmers Union, Leeds Teaching Hospital Trust and the University's Sustainability Institute, who have engaged in knowledge-exchange and methodology-sharing. A 2022/23 DSDP project, focused on developing a Census Dashboard for Leeds City Council, has strengthened this pre-existing relationship. It has also helped maximise Council time, by reducing Census queries to the Council's Policy team by as much as 90%. We've also received interest from, and continue to have conversations with, Islington Council, London Borough of Camden, and Watford Council. These conversations present future opportunities in potential sustainability collaborations and research.
As part of ongoing work in Equity, Diversity, and Inclusion, former Senior Ops Co-Ordinator Kylie Norman led a widening participation project designed to make data science more inclusive for hard-to-reach communities. As a result of this work, she has developed strategic partnerships with the Keighley Schools Together network working group, the Centre for Applied Education Research (CAER), Raspberry Pi's Code Club Programme, Rethink Food, Bradford Council's Alliance for Life Chances, and a supermarket retailer. It is recognition of the impact of CDRC's capacity building that we have built these strong relationships as part of a future programme of capacity building work.

Our own data tools
CDRC's development of derived data products in 2022-23, under the guidance of former Senior Research Data Scientist, Baudains, has also played a pivotal role in the capacity building of the Centre. This is largely in response to the National Data Strategy's emphasis on reproducibility and opening up access to data, as many of these data products are targeted specifically at non-academic researchers, and those who are most able to effect real-world change. The data products developed in-house by CDRC are: the carbon calculator tool created by Alex Dalton, as part of her work with Leeds City Council (LCC); the Nutrient Profile Model Online Calculator, created by Research Fellow Dr Jenneson; the Priority Places for Food Index, methodology, and code, produced by Baudains, Pontin, Morris, and Ennis in collaboration with Which? (2022) (2023 version also includes input from Oldroyd and Alex Hambley); the Leeds City Council Observatory Census Dashboard; and the Eatwell Product Classification, produced by Pontin. These tools are designed specifically to meet a need by researchers and decision makers beyond academia. In 2022, CDRC also launched the educational game 'Planet Plates', based on Dalton's carbon footprint calculator, which is targeted at primary school-aged children and is designed to help them learn how their food choices impact the planet.

In addition to these data products aimed beyond academia, CDRC also has a range of data sets and products targeted at academic researchers. These include: Robin Lovelace's stats19 R package and CycleInfraLnd R package, both of which emerge from his open-source research into cycling infrastructure; Adam Keeley's Cube, a computer model/algorithm based on data from grocery retailer transactions for retailers between 2015 and 2017; SPENSER (a synthetic population estimation and projection model), which uses dynamic microsimulation to produce projections under different, user defined scenarios; CoSMoNorth (an agent-based simulation of transportation and mobility in the north of England, co-developed with Arup); a classification for English primary schools using open data, which examines how educational contexts can impact the curriculum for state-funded schools; and the e-food deserts index (EFDI), which is a multi-dimensional composite index which measures where neighbourhoods exhibit characteristics associated with food deserts across four key drivers of groceries accessibility. The aggregated data sets for the Local Data Spaces project, led by Leech, were made available as Open Source GitHub Code, and Albone's aggregated Leeds City Council footfall data is now accessible on the open data tier of the CDRC data store. Pontin has provided the Data Cleaning Process for the CDRC Fuell Dataset on CDRC's website. Dr Will James has created a food classification tool by demographic group. One of CDRC-Leeds's Research Data Scientists, Dustin Foley, has generated a model from his work on the CODiT (Covid Opensource Digital Twin) project. Customisable elements of the model include infection rates, lockdown measures/adherence, vaccination rates, households, workplaces, schools, care homes, hospitals, and random ephemeral contact with other individuals. Birkin created the Dynamic Modelling Environment, which is a highly efficient modelling environment that combines population microsimulation, a detailed modelling of social interactions and a SEIR-type model to study the spread of a pandemic in an area ranging from one MSOA to the entire Country of England with a runtime of under a few minutes. In addition to offering a platform to study the recent (and ongoing) COVID-19 pandemic, the model can be disaggregated into modules that offer a solid basis for other projects ranging from the study of spatial inequality and energy distributions to infrastructure investment and sustainable cities. It is currently being configured to examine environmental change through the DyME Climate, Heating and Health (CHH) project.

Other Non-academic Outputs
Our focus on generating data products and tools, as well as our dedication to open access publishing and the sharing of aggregated data sets, for example through the LDS project discussed above, shows our commitment to the accessibility of our research and our desire to reach non-academic audiences. Our research has been cited in a range of non-academic outputs and media, in part because we have broadened our avenues for dissemination through online engagement (see response to question below). The research conducted under the IGD collaboration has been published in IGD's reports and cited on the Sainsbury's websites. Our research has also supported the delivery of other non-academic outputs, such as the second part of the National Food Strategy (NFS) recommendations, launched in 2021, supported by DEFRA, to which Jenneson was seconded in 2020-21. CDRC have also replied to the NFS recommendations as part of a response written by the N8 Agrifood Policy Hub.
The launch of the Priority Places for Food Index secured significant press coverage, and so in 2022-23 we have seen an increase in non-academic, media-orientated outputs. The media coverage for the launch of the Index covered multiple media: TV (Good Morning Britain, BBC Breakfast (Yorks & Mids), BBC Look North, Panorama); Radio (BBC Leeds, BBC Merseyside); Broadsheets (The Times, The Guardian, The Independent, Financial Times, The Herald (Scotland), Belfast Telegraph (NI)); Online News (Sky News, Yahoo, ITV, STV, Wales Online, Local Gov); Tabloids (Daily Mirror, Daily Mail, Scottish Daily Express, Daily Record (Scot)); Regional News Yorkshire (Yorkshire Post, Telegraph & Argus, Hull Daily Mail, Huddersfield Daily Examiner, Yorkshire Examiner); and Regional News (other): Hertfordshire, Shropshire, Glasgow, Birmingham, Liverpool, Lincolnshire, North East, Wrexham. In 2023, CDRC also submitted evidence to the Fairness in the Food Supply Chain inquiry led by Environment, Food and Rural Affairs Committee (https://committees.parliament.uk/writtenevidence/122986/default/), using data from Priority Places for Food Index and the work with supermarket retailers. Dr Pontin was later invited to give oral evidence to this committee (https://committees.parliament.uk/oralevidence/13825/pdf/). In 2022-23, CDRC research was also featured in a range of University of Leeds podcasts: Ennis and Birkin were invited to appear on the University's Research Culture podcast, as were Jenneson and Pontin, following CDRC's success in the 2023 ESRC Celebrating Impact Prize. Norman and Morris were also featured as part of a University podcast on Improving Representation on the DSDP. Morris also joined colleagues from the Global Food and Environment Institute on the University's 'How to Fix' podcast to discuss how given the rising cost of food, who are the communities hardest hit and how we can help. Morris outlined findings and highlighted how policy makers can utilise the Priority Places for Food Index to better understand and target help to those communities most in need.
Exploitation Route There are five ways in which our outcomes might be shared and put to use by others, all of which are capacity building routes to impact. These are through our partnerships, through strategic tools of engagement, our presence on advisory boards and professional bodies as a direct pathway to impact, the destinations of our alumni and former employees, and through our training and capacity building in industry and the third sector.

Partners
Our partnership with IGD has already enabled us to forge new relationships with retailers who work within the INSG. This has led to signing a master collaboration agreement with Asda, which will allow us to organise research projects with the retailer beyond the IGD agreement. We have also signed data sharing agreements with a variety of other retailers under this umbrella. In this way, IGD have become a useful platform in disseminating our research and sharing our methodologies with retailers without breaking competition law, and the success of the projects ongoing and completed as part of the IGD collaboration is building a momentum through which we are gaining additional partners and recognition as trusted researchers within the sector. This will mean we are able to reach a significant number of new retailers through the IGD partnership. Similarly, our collaboration with Which? allowed us to deepen pre-existing relationships with retailers by consulting with them on the Priority Places for Food Index. This collaboration also grew our network of policy and decision-makers, including developing stronger relationships with OHID regional offices and Good Food Oxfordshire. The Which? collaboration, as with the IGD collaboration, therefore works as an effective platform for future partnership building. Our successful work with the Sustainability, Catering, and Food Strategy teams within Leeds City Council has resulted in new networks within the Council and beyond, using various Council-run events as a platform. As we continue to bring in new data, we will also grow our network of data partners and research organisations. In parallel, we will be taking specific steps to raise the profile and benefits of our interdisciplinary expertise with the West Yorkshire Combined Authority, particularly in the light of the inaugural 2021 election of a Mayor of West Yorkshire.

Tools of engagement
We have fine-tuned our tools of engagement to maximise reach and broaden the demographic that our research reaches. Our multi-channel communications and engagement strategy, led by Naisbitt, drives engagement across CDRC-owned channels and maximises opportunities across partner-owned channels. We have worked on collaborative campaigns with high profile partners, including major retailers, Which?, IGD and the Food Foundation, to publish reports, lay summaries, videos and media releases which have resulted in significant media coverage across TV, Radio, Newspapers and digital publications. We have utilised podcasts, blogs (including Royal Geographic Society, Academy of Social Sciences, Science Breaker and the Conversation) and public engagement events (Be Curious, The Cabaret of Dangerous Ideas and Leeds Digital Festival) to disseminate research and impact insights directly to the public.

We continue to have a strong web presence with active social media channels driving traffic to the CDRC website, data store, maps and web apps. YouTube and X remain strong channels for research and training dissemination. Since 2021 we have also been using LinkedIn (organic and paid - LinkedIn Sales Navigator) for both dissemination of insights and relationship building with potential partners, alumni and former employees.

CDRC Leeds have hosted four Data Partner Forum events, with a total of 377 attendees from across industry, academia and public services. Participating organisations include Asda, Morrisons, Sainsbury's, LIDL, Google, PWC, SkyBet, Virgin Media, Argos, Boots, Co-operative Group, Jet 2, various city council representatives and the Ministry of Justice.

Presentations and speaking opportunities continue to be one of the fastest and most direct ways of disseminating our research. With CDRC researchers and partner organisations presenting our work at industry conferences such as the Consumer Goods Forum (Morris), Nutrition Society (Pontin), Financial Times Conference (Young) and Department for Transport Data Science Conference (Birkin) and round table events with Which? (Ennis and Morris), Food Foundation (Baudains, Ennis, Morris & Pontin) and Google (Lomax). Core CDRC core data asset, PPFI, has been presented to at over 470 stakeholders through targeted presentations and work groups, which is in addition to local, regional, and national press coverage of the Index.
We have also expanded the reach of our research with Partnership Development Manager, Mattiello, attending events and presenting CDRC work and collaboration models. These include: West Yorkshire Combined Authority (WYCA), High Opportunities vent in collaboration with the Department of Business and Trade; the Indian Tech Delegation (hosted by WYCA), creating awareness of CDRC, and creating new partnership opportunities with mid - large reputable Indian tech organisations; and the Employee Engagement Forum held at the University of Leeds, creating new relationships with other employees external to CDRC that work with organisations and students.

Memberships/Advisory Positions
The professional memberships held by CDRC staff and researchers is a key way to disseminate research findings and effect real world change. In 2021, Young became an Advisor to Defra and to UNEP. Birkin has also been part of a roundtable for the G7 on safe data access and use for health emergencies attended a 2-day meeting at the Isaac Newton Institute, in partnership with the Royal Society on new models for spatial and social behaviour in a pandemic, and participated in EDIF Steering Group, Department for Transport, Urban Observatories, Alan Turing Institute. Professor Alison Heppenstall was invited to be Scientific Board member for the Turing AIUK annual conference and was a scientific committee member for The International Conference on Autonomous Agents and Multiagent Systems (AAMAS) in 2021 and 2022. Norman has been invited to contribute to the Horizons Challenge Network Collaborative Lab in recognition of her work in Positive Action recruitment. Lomax sits on the ONS Methodological Assurance Review Panel, providing advice on the development future of UK population statistics including the incorporation of Digital Footprint data and the Scientific and Industrial Advisory Board for the UK's Exascale project, providing advise on the business case for UK high performance computing provision. These appointments and memberships allow CDRC staff to grow networks and have reputable platforms through which research and methodologies can be disseminated.

Career next steps
As CDRC offers a direct pipeline of staff and skills into the data workforce, the next destinations of our staff are pivotal in ensuring our research and methodologies are used in industry and across time. The 2020-21 DSDP cohort saw a record-breaking year with the highest number of academic papers submitted/ in press, the highest number of tangible outputs (dashboards, models, and calculators), and the highest number of open-source repositories detailing methods and code developed. This in turn led to a higher number of confirmed DSDP next destinations in industry/third sector organisations than in any previous DSDP cohort, including Morrison's, ONS, Geolytix, The Dog's Trust and a well-known insurance broker. CDRC has also managed to keep some of this talent, with four Data Scientists taking up positions in University research teams, and one going on to work in the Bradford partnership. Through its presence on LinkedIn, CDRC is also in touch with this DSDP alumni community and is starting to establish a pipeline of ambassadorship into industry organisations, with a view to these organisations then joining the ladder of engagement through sponsoring their own DSDPs or PhD projects with CDRC. Other next destinations of CDRC alumni include Asda, Bradford Council, DWP, The Data City, St John Ambulance, East Suffolk Council, Connected Yorkshire, the ONS, Geolytix and FareShare, as well as academic destinations for further study/ research at the Universities of Leeds, Cambridge, LSE, Lancaster, UCL, Warwick, Bristol, Melbourne, Auckland.

Training and capacity building
Our training is another way of ensuring our research methodologies are being used in industry. Metrics from the 2020-21 academic year indicate a high uptake within academia, in particular amongst PGR students and early career researchers, for whom CDRC training represents a vital springboard resource into early career data science. We have also seen repeated attendance from public sector organisations such as the BBC and the NHS, as well as new partner organisations Friends of the Earth. CDRC received Continuous Professional Development UK Certification for 6 CDRC Training Courses in 2022, which will grow the reputation and highlight the expertise of CDRC-led training. In 2022, CDRC also launched the Open Data Science Bursary using funding awarded as part of the University's Open Research and Impact award. This allows delegates who have protected characteristics, and/or who are from low-income households, to apply for funding to cover the costs of our short courses. This is just another way in which CDRC is a leader in making data science more accessible, but will also help us grow research capacity and impact, and disseminate our research further and within more diverse cohorts.
Sectors Agriculture

Food and Drink

Communities and Social Services/Policy

Digital/Communication/Information Technologies (including Software)

Education

Energy

Environment

Healthcare

Government

Democracy and Justice

Retail

Transport
URL https://www.igd.com/social-impact/health/shifting-consumer-behaviour/real-life-trials
 
Description CDRC-Leeds has produced award-winning impact from its research. In 2023, the Nutrition and Lifestyle Analytics sub-team, led by Prof Michelle Morris, won the ESRC Celebrating Impact prize for Outstanding Business and Enterprise impact. Furthermore, the outreach work led by former Senior Ops Co-Ordinator Kylie Norman (now in Leeds Institute for Data Analytics), LIDA Open Data Science for Schools, received a Highly Commended Award under the Research Initiative category at Celebrate as One: Bradford District and Craven Health and Care Partnership Awards in 2023. CDRC as a whole has won the University of Leeds's Research Culture award for Open Research and Impact (2022), as well as three Engaged for Impact Awards in the categories: "Building partnerships and networks", "Caring for the Future", and "Finding a Better Way". Since its inception in 2014, CDRC has generated an additional £4,307,351 of research income for small, impact-focused and/or place-based initiatives, for example through University of Leeds internal funding - such as Leeds Social Sciences Institute (LSSI) as part of the Local Acceleration Fund submission, Policy Support funding, and Enhancing Research Culture funding - information on which is detailed below. This is in addition to the research grants received from UKRI for core CDRC activity, or through UKRI-funded research fellowships and adjacent grants (such as DIO-Food and our work with IGD, see below). Our research has not only been commended for the quality of its impact; it has also demonstrated impact reach and significance for a range of beneficiaries. These include the capacity to influence, impact, and facilitate change for: local, national, and international governments and decision-makers; the wider public; commercial and retail organisations; and data users and researchers, both within academia and professional data workforces. CDRC has achieved instrumental and conceptual impact, and has built capacity across the following impact domains: attitudinal change, capacity building, changes to behaviour and decision-making, environmental benefits and impacts to sustainability, economic impact, policy change, influence on health outcomes and wellbeing, and overall cultural change in the prevailing values, attitudes, and beliefs surrounding the significance of consumer data analysis. Planned and completed engagement activities have taken place with the public and stakeholders at a local, regional, national, and international level through local and national press, reports, blogs, social media interactions, and academic outputs. Local Governments At a regional level, we have seen policy change and impact through a collaboration (initiated in 2021) between CDRC and Leeds City Council (LCC), designed to help the Council achieve their sustainability goals. In 2021, LCC launched their 'Leeds By Example' campaign and also began to consult on a city-wide strategy that implemented some of the recommendations made by the National Food Strategy. However, they were struggling to measure effectively the carbon footprint of their own Council-run catering subdivision. CDRC former Data Scientist Alexandra Dalton developed a digital carbon footprint tool for the Council using school meals data. This tool is now being used by council members, Councillors, and decision-makers in the catering branch of the Council to make more sustainable procurement choices. This will in turn generate a positive local environmental impact. Dalton also led a series of public engagement and dissemination events with the Council, local schools, and other third sector partners such as local sustainability educational organisation, Rethink Food. CDRC was successful in bidding for additional public engagement funding through Leeds Social Sciences Institute (LSSI) as part of the Local Acceleration Fund submission. This provided us with additional resource to convert the carbon calculator tool into a game suitable for primary school children, which was used in Dalton's work in schools and which is publicly available online to help build awareness and drive behavioural change in pupils surrounding sustainability. These citizen-centred engagement events, enabled by Dalton's research and tool, will also enable local children to feed into the decision-making process surrounding food planning and procurement. The success of the digital tool has also built further capacity: a similar project was developed as part of the 2022/23 Data Scientist Development Programme (DSDP) to help University of Leeds understand its own catering carbon footprint. CDRC also leads a further project with Leeds City Council using the carbon footprint calculator, along with qualitative interview data from market traders, to understand the role that Leeds traditional markets play in the food system of Leeds. This has been funded through the University's Leeds City Council call of the Policy Support Fund (Research England). The PI for this project is CDRC's Research and Impact Manager, Dr Emily Ennis. Beyond the carbon calculator project, CDRC-funded DSDP projects enable CDRC to build collaborations within local authorities. In 2021, the Local Data Spaces project - run in collaboration between the CDRC at both Leeds and Liverpool, the Joint Biosecurity Centre (JBC), the Office for National Statistics (ONS) and ADR UK - was a six-month Data Scientist Development Programme project engaging with 25 local authorities to better understand local priorities, contexts and research needs during COVID. From the meetings with local stakeholders, the huge variation in resources available for research and analytical capacity became clear. Using data from the ONS's Secured Research Service (SRS), the project team generated a series of reports, specific to each local area, investigating themes including demographic and ethnic inequalities in COVID-19, excess mortality, economic vulnerabilities and human mobility. Another DSDP project, from the 2022/23 cohort, worked with Leeds City Council to develop the Leeds Observatory Census Dashboard, which provides easy access to Leeds 2021 census data for a range of end-users including policy makers, citizens and academics. The Intelligence & Policy Team at LCC receives a substantial number of census-related data requests from Councillors, different departments, and members of the public. The process of downloading, manipulating, and analysing census data can be time-consuming and tedious. This dashboard minimised the time spent on this process, providing insights at the click of a button. Mike Eakins, Head of Policy for the Council commented that: "The Census is a vital tool in helping us to better understand our city and the people who live and work here. The depth of insight at the touch of a button this project has enabled us to access will change the game in supporting more people to access meaningful data in a user-friendly way. In addition, the results from the project will assist us through informing strategic conversations with councillors, helping to guide our work on equality diversity and inclusion, and generating further lines of enquiry more quickly than we've been able to previously." Likewise, Data Scientist, Tom Albone, along with seven other Data Scientists on the DSDP working in the Healthy Choices, Mental Health, and Life Choices/Aspirations research areas, have provided valuable research feedback to public and policy makers about the ActEarly: Holme Wood projects and other Bradford-based data science projects applying the "Holme Wood process". Providing an overview of the data science process being used and its importance in the policy-making context has led to increased interest in the project from stakeholders, which is especially significant as Bradford Council continue to invest in data services and repositories. Furthermore, Data Scientists Dalton and Albone, working closely with Morris, used open data on Free School Meals to investigate food inequalities in Bradford. During the national controversy surrounding the provision of free school meals during the pandemic, their findings became the focus of a press release issued by Jo Pike, Labour's Parliamentary Candidate for Shipley Constituency, to Bradford's Telegraph and Argus newspaper. See below for how these ties with local Bradford council policymakers and community groups have been developed in 2022-23 with the launch of the Leeds Open Data Science for Schools project. National Governments One of CDRC's most significant and far-reaching pathways to national policy impact has been through our collaboration with consumer champions, Which?. The project itself builds on strong retailer expertise from Morris, who leads CDRC's collaboration with the Institute of Grocery Distribution (IGD) (see below for further info), focusing on changing consumer behaviour through retailer-run in-store and online interventions. It is this strong, pre-existing network and corpus of research that grew CDRC's reputation for impactful and responsible research with consumers and retailers, and which allowed CDRC to bring to the collaboration with Which? a mechanism to effect meaningful real-world change. The outcome of this collaboration was an interactive tool, the Priority Places for Food Index (PPFI) ( https://priorityplaces.cdrc.ac.uk/), which has become a mechanism for supplying intelligence to inform changes for both retailers and policymakers who can help to tackle food insecurity, particularly in a cost-of-living crisis. Launched late 2022 (ver. 2 launched in early 2024), PPFI, developed by Drs Fran Pontin, Peter Baudains, Ennis, Professor Morris, and Which?, scores food security by bringing together datasets on food accessibility and sociodemographic barriers to accessing that food. Areas of roughly 650 households across the UK are then scored within 10 deciles of food security, demonstrating the disparities in food access below constituency level. Because of the way the tool reframes debates and accentuates policy demands, it has already begun transforming the practice, thinking, and capacity of policymakers supporting the communities hardest-hit by the cost-of-living crisis. As of March 2024, the PPFI has been visited online 13,425 times by 8,509 unique users, and targeted engagement activities have been led by CDRC with policymakers at city, county, regional, and national levels. The Office for Health Improvement and Disparities (OHID), specifically in London, Yorkshire and Humber, and the South East, as well as Good Food Oxfordshire, a network of organisations working towards a fairer, healthier and more sustainable food system for Oxfordshire, have all identified the Index as a new way of monitoring and evaluating policy implementation. The tool will be used alongside health dashboards across the UK to assess how food insecurity overlaps with health outcomes. The Scottish Government have also recognised the capacity of the Index as a decision-making tool, providing a series of policy questions to "ask" the Index to solve. It has also been used as a foundation for local responses to the National Food Strategy at city- and county-level and their monitoring and evaluation. This means the tool has started to change thinking or capacity within public policy at local, regional, and national levels by targeting specific areas for effective and efficient public service provision. In 2023, CDRC also submitted evidence to the Fairness in the Food Supply Chain inquiry led by Environment, Food and Rural Affairs Committee, using Priority Places data (https://committees.parliament.uk/writtenevidence/122986/default/). Pontin was later invited to give oral evidence to this committee (https://committees.parliament.uk/oralevidence/13825/pdf/), calling for more top-down initiatives for food providers and local governments to help support the areas at higher risk of food insecurity. The framework for the Index builds upon Dr Andy Newing's innovative E-Food Desert Index (EFDI), deposited within CDRC Data Store, which captures data on proximity, density and accessibility of retail supply, neighbourhood socio-economic and demographic characteristics and e-commerce availability and propensity at a neighbourhood level to identify potential food deserts. The EFDI (https://data.cdrc.ac.uk/dataset/e-food-desert-index ) also has an accompanying technical 'user guide' and interactive visualisation via CDRC maps (with >5000 views to date), in order to make the data highly accessible to both researchers and the wider public. Baudains and Pontin used this framework and additional data in order to create the PPFI, with economists at Which? and Ennis ensured the data used is representative and most likely to serve a use, or create an impact, beyond academic communities. The PPFI, as well as its data sources and methodologies (https://data.cdrc.ac.uk/dataset/priority-places-food-index), have been made open access to ensure interested stakeholders and policymakers can continue to draw benefit from the work. This provides opportunity for non-academic researchers to learn from CDRC's process and to participate in ongoing refinement of the tool. CDRC has committed to updating the tool annually in autumn ahead of increased household costs due to heating in the winter months, as it is clear that heating plays an important part in household decisions around food purchasing. The Centre has also developed two further research projects through the DSDP, one focusing on health outcomes in priority places, and another focused on how to maximise food redistribution networks to ensure hardest-hit communities have access to food. These projects enable us to work with partners in the food sector to make a more convincing argument for the impacts of food scarcity upon health, as well as evaluate how food insecurity can be limited within the food system, which will provide additional resource for policymakers to make targeted interventions. The Wider Public The policy change effected by CDRC research has also impacted on the lives of the wider public. The most significant of these impacts have been on the health and wellbeing of the public. As with the LCC carbon footprint project, short-term projects led by CDRC have shown incredible capacity at answering urgent questions and addressing governmental demand for information using data science skills. These same skills were rapidly mobilised on a number of different projects designed to provide expertise to help solve national and local government challenges during the COVID-19 pandemic. The 2021 Covid Opensource Digital Twin project (CODiT), led by Dr Jeremy Large at University of Oxford, was supported by CDRC Research Data Scientist Dustin Foley and developed a codebase using agent-based methods to simulate the spread of an epidemic such as Covid-19 through a population. In 2020-22, we saw a change in a variety of health outcomes effected by two CDRC DSDP projects, both which fell broadly under our Urban Analytics research theme. The insights generated by the Local Data Spaces project (mentioned above) fed into Liverpool City Council's evaluation of the 'mass testing' pilot helping to refine the delivery of the programme and influencing the national roll-out of asymptomatic COVID-19 testing. Additionally, evidence of inequalities in testing uptake allowed Liverpool City Council to revise their strategy to tailor their outreach activities and data insights from project evidence were incorporated into oral presentations to Department of Health and Social Care, UK Government and Scientific Advisory Group for Emergencies (SAGE) on lessons learnt for shaping the national roll-out asymptomatic COVID-19 testing. Pivotally, the project won the ONS Research Excellence Award in 2021, which highlighted how the project brought health and economic data together in an accessible, digestible format for local authorities. The second DSDP project which has received considerable media and academic interest, as well as generated policy influence, used mobile phone data to assess the public's adherence to England's COVID lockdown laws. Using mobility data provided by Spectus.ai (part of Cuebiq's Data for Good initiative), the research team demonstrated the levels of adherence to lockdown policies between March 2020 and April 2021, with blog coverage focusing on the 2020 Christmas lockdown in England specifically. This research was published as 'Household visitation during the COVID-19 pandemic' in Scientific Reports in November 2021, and has since been picked up by over 110 news outlets across the globe (e.g. The India Express, The Times of India, Nature Asia), and posted about globally by Twitter users in Japan, United States, Italy and India, among others. The research gained particular momentum during the 2021 festive period and again in February 2022 when England removed all COVID restrictions, and was presented as part of a Select Committee hearing. The research has also been used by Dr Raghib Ali, a clinical epidemiologist at the University of Cambridge and an honorary consultant in acute medicine at Oxford University Hospitals NHS Trust, to inform his work on public health. On March 2 2022, Ali testified to Parliament at a meeting/hearing of the House of Commons Science and Technology Committee (the full recording of which can be accessed here: https://www.parliamentlive.tv/Event/Index/3ccd0195-b4d8-4e2d-a1a7-12265fda811d), during which he referred to the results of this research multiple times and from multiple angles. From this testimony, it can also be gleaned that the article was briefed to the Secretary of State for Education Nadhim Zahawi in mid-December 2021, ahead of the UK Cabinet meeting on 20th December 2021. It also highlights that Ali most likely played a quiet (but potentially influential) role in advising No.10 on the integrity of Covid-19 data on lockdowns throughout the pandemic: https://hansard.parliament.uk/Commons/2022-01-18/debates/AB251DCA-8088-485C-BF49-3999C4EE9AC5/details#contribution-34E21174-E6F4-4892-A4FC-BE0C65B2458B. Ali also referred to this research in a Guardian opinion piece published on January 28 2022, calling for an end to harsh restrictions but also for continued caution in the wake of COVID Omicron surges (https://www.theguardian.com/commentisfree/2022/jan/28/lift-plan-b-restrictions-england-vaccines-restrictions). The CDRC's use of population data to address key health concerns enabled it to become integral to the COVID modelling being led by the Rapid Assistance in Modelling the Pandemic (RAMP) collective of researchers. RAMP, convened by the Royal Society, are a group of 70 independent researchers who aimed to assist pandemic modelling and to brief COVID-19 policymakers by mobilising effectively the UK's wider scientific modelling community. Prof Mark Birkin led the Covid-19 RAMP initiative workstream, connecting epidemic models to transport and urban analytics using CDRC and LIDA data and methodologies. Focusing on predictive analytics, the work conducted by RAMP played a vital role in understanding and imagining different exit strategies for national and devolved UK lockdowns. In 2022, the Royal Society convened a meeting to bring together key advances and outcomes from this two-year project designed to accelerate advances in both scientific and social modelling of pandemic diseases, specifically covid. The meeting included keynote presentations, panel discussion and posters, with panel members including Sir Patrick Vallance as Chief Scientific Adviser to Government. Birkin has also contributed as section lead for urban analytics to the RAMP Rapid Review Group which provided rapid peer review for research papers prior to evaluation by SAGE, Scientific Pandemic Influenza Group on Modelling (SPI-M) and other policymaking groups. This has meant that important scientific findings and guidance have been made publicly available at rapid speed. Professor William Young has likewise provided an expert interview on how digitally enabled collaboration can support a sustainable and inclusive recovery from COVID-19 during a workshop led by Accenture, Axis & Innovate UK project. With more than 500 in attendance, composed of professional practitioners, policymakers and politicians, and industry and business representatives from around the UK, the CDRC takes prominence as a leading consultant in both COVID-19 rapid response and post-pandemic social and economic recovery. CDRC's impacts on the wider public is not limited to health and wellbeing impacts from COVID-19. In the 2021-22 cohort of DSDP projects, Professor Lovelace and Data Scientists James Hulse and Greta Timaite explored how OpenStreetMap (OSM) data can be used to support sustainable transport planning objectives, particularly in the wake of Department for Transport's £250m Active Travel Fund (ATF) and £2bn allocated to walking and cycling over the next 5 years in the UK alone. The aims of the project included generating new research and publications on additional uses of open data to support sustainable transport planning objectives, and the research team engaged with stakeholders, students, and partners by tasking them to go out into Leeds and correct errors in real time in OSM data. Also benefitting the wider public, Morris's collaboration with the IGD demonstrates improved nutrition outcomes of supermarket consumers by nudging them towards the Eatwell guide using in-store and online interventions. Our relationships with, and networks of, retailers allow us to improve health outcomes of consumers and the health of the planet through interventions targeting healthy and sustainable diets, but these networks also allow us to build capacity that has a wider reach for impact. In the video and case study produced for the 2023 ESRC Celebrating Impact prize (https://www.ukri.org/who-we-are/how-we-are-doing/research-outcomes-and-impact/esrc/driving-the-smart-use-of-consumer-data-in-supermarkets/ ) retailers have testified to how instrumental our research with IGD has been in changing how retailers operate, and this in turn has impacts on the lives of everyday people. Furthermore, our networks of retailers and our partnership with Which? have allowed us to impact the lives of the wider public during the cost-of-living crisis. Which? have used the PPFI in their #AffordableFoodForAll campaign, and the Index has provided leverage in conversations with retailers around provision of affordable food. Aldi has already agreed to follow Which?'s recommendations to increase food accessibility. Since the campaign's launch, more than 113,000 people have signed Which?'s petition urging supermarkets to take action. This has led to a further two major supermarkets committing to stocking budget ranges in their smaller convenience stores and the UK's largest grocer has begun making its pricing clearer. This demonstrates how changes in industry practice can have powerful impacts on the lives of a large number of consumers. Commercial and Retail Organisations In May 2021, CDRC entered into collaboration with IGD. This partnership was partly in recognition of the work Co-I Morris and PhD student Dr Victoria Jenneson (now Research Fellow) had already accomplished with Sainsbury's, on a project which used transaction data to better understand health and sustainable diets. However, this partnership also recognised the important work Morris and other CDRC researchers were already doing into the insight provided by retail transaction data. Under the IGD partnership, future in-store and online trials have been set up in collaboration with additional retail organisations, hoping to gain insight into healthy and sustainable living from store transaction data. As a result of our collaboration with industry, our retailer partners have made public commitments to lasting change. Sainsbury's have used our data analysis results of their The Great Big Fruit and Veg Challenge in 2021 to inform their "Help Everyone Eat Better" initiative (see: https://www.nutritioninsight.com/news/sainsburys-helps-shoppers-set-personalized-fruit-and-veg-intake-goals-with-nectar-app.html, https://www.express.co.uk/life-style/life/1444053/sainsburys-nectar-card-points-bonus-fruit-vegetables-healthy-eating-latest-uk and https://internetretailing.net/mobile/sainsburys-brings-back-mobile-gamification-to-drive-up-fruit-and-veg-sales-23248/). Moving away from "Live Well For Less" demonstrates a change in thinking towards the accessibility of healthy and sustainable diets. Extending the price incentivisation of fruit and vegetables also shows a change in practice. The capacity for these decisions was generated through our research analysis. Other work with Sainsbury's also demonstrated how their top-up coupons for the Healthy Start voucher scheme significantly increased the number of fruit and vegetable portions purchased per customer year on year. Our analysis revealed overall movement towards the Eatwell Guide by shoppers using the top-up coupons, which resulted in Sainsbury's extending the scheme to Wales and Northern Ireland (see: https://www.about.sainsburys.co.uk/news/latest-news/2022/10-10-2022-sainsburys-could-help-feed-half-a-million-as-cost-of-living-rises). Additionally, under this collaboration, Morris's research has contributed to Sainsbury's ongoing health and sustainability strategies. Sainsbury's presence at COP26 included two talks ('Helping Everyone Eat Better' and 'Measuring What Matters') and a physical booth/stand which focused on the Eatwell Guide. The environmental and sustainable commitments Sainsbury's made as part of COP26 were made possible by understanding how their customers shopped and what could motivate them to shop differently. This CDRC research with Sainsbury's is recognised as part of their 'Helping Everyone Eat Better' work (https://www.about.sainsburys.co.uk/food-back-at-heart/helping-everyone-eat-better) and was also discussed by Sainsbury's at the 'What Works for diet shift' workshop hosted jointly by the Food Standards Agency and Behavioural Insights Team in February 2022. CDRC work with IGD was also presented at the same workshop, is featured as part of IGD's report in the final quarter of 2021 (https://www.igd.com/articles/article-viewer/t/driving-change/i/29113) and the results of this research published as an online news piece (https://www.igd.com/articles/article-viewer/t/first-findings-in-series-of-retail-trials-show-a-78-uplift-in-promoted-fruit-and-veg-sales-when-prices-are-reduced-from-in-store-trials-at-sainsburys/i/29135). Through our IGD collaboration, we have also worked closely with Asda to analyse in-store vegan swaps. Analysing Asda's in-store intervention relocating plant-based options alongside meat, found that sales of these vegan options decreased. Despite the decrease in sales, Beth Fowler, Asda's former Nutrition and Health Strategy Manager, noted that "it's important to share learnings with industry, NGOs and policy makers to build future research that adds value to all." This demonstrates the change in perception among industry stakeholders in order to build capacity. She added that based on the learnings from this research, Asda will expand their vegan range by approximately 50% in 2023, improve the price position of meat-free choices, place meat-free options in dedicated extended meat-free fixture in-stores, and work further to establish which behaviour change levers work best (see: https://www.igd.com/articles/article-viewer/t/healthy-sustainable-diets-driving-change/i/30157). This demonstrates a change in products availability to consumers following our research, and creates opportunity for future change in consumer diets. In fact, our work with Asda through the IGD collaboration allowed us to build a strong relationship with the organisation that has now resulted in a Master Collaboration Agreement (MCA) between the University of Leeds and Asda. This MCA abbreviates the sign-off process required to approve research projects and exchange data, which builds enormous research capacity for both the University and the business. This MCA has enabled us to co-design and co-produce research of value to Asda and the retail sector more widely. This has happened through co-hosted ideathons and hackathons, and collaborations on projects as part of the Data Scientist Development Programme. Through our funding of the DSDP, we have also built and deepened a significant relationship with Morrisons. CDRC alumni now form 10% of the data workforce at Morrisons, and Peter Laflin, Director of Data & Analytics, argues that CDRC's impact "comes by developing valuable skills in individuals and supporting them to join the workforce" but also by working on social problems "that will have a long-term impact on how we live as citizens." This highlights how our work with supermarket retailers grows capacity within the sector, and has the potential to impact the lives of everyday people through business decisions that impact consumers. Our collaborations with retailers have also allowed us to make significant interventions on organisational decision-making and governmental policy-making. Professor Susan Grant-Muller gave oral evidence to the House of Lords Select Committee on the Built Environment Inquiry on Public Transport in Towns and Cities in March 2022. The session was considering the use of data innovation and data sharing to improve connectivity. Furthermore, Morris and Jenneson have worked closely with Sainsbury's and other leading retailers as part of their work on nutrient profiling. In 2021, this work created the opportunity for Jenneson to be seconded to the National Food Strategy team (DEFRA), to model potential food taxation strategies to improve public health and dietary sustainability and to inform recommendations for NFS part 2 report. Jenneson has also created a Nutrient Profile Model Calculator, hosted on CDRC, as a result of this work, in order to support dietitians, legislators, and enforcers. Between November 15 2022 and March 6 2024, the tool has been visited 8344 times by 2958 unique users. This is particularly significant following the implementation of legislation limiting the sale and promotion of foods high in fat, salt, and sugar in England since October 2022. Both Morris and Jenneson have also written responses to the second NFS report as part of a larger response from the N8 Agrifood Policy Hub. Data Users and Researchers (Academia and elsewhere) The interaction between the expertise of professional and support staff and the CDRC Leeds Co-Is have played an important role in the impact that has been effected for data users and researchers, both within and outside academia. While Co-Is on the grant are responsible for driving the research behind the real-world change CDRC has seen in researcher communities, this capacity building and upskilling would not have been possible without a cohort of experienced professional staff including CDRC's: (former) Senior Operations Co-ordinator and DSDP Co-Ordinator (Norman), Partnerships Development Manager (Mattiello, and former post-holder Evans), Communications and Public Engagement Manager (Naisbitt), Research and Impact Manager (Ennis), the Research Data Scientist team (Baudains, Pontin, Foley, Hambley), Teaching Fellow (Urquhart) and Centre Manager (Mansell). This core operational team have been pivotal in opening up our routes to both engagement and impact and, in the case of the Research Data Scientist team, developing the research tools and derived data products that are now at the centre of core CDRC-Leeds research activity. Capacity building/upskilling The CDRC prides itself on its commitment to developing a workforce able to use data skills with confidence. This is in response to the national and global need for such skills, as highlighted in the UK Government's National Data Strategy. The CDRC has developed training schemes for Python, R, QGIS and data analysis skills and has upskilled hundreds of data professionals across sectors via this short course training programme. Between March 2020 and March 2021, the CDRC was able to adapt to the coronavirus pandemic and to deliver its usual training virtually. Each year, whether online or in-person, we deliver training to over 100 individuals, including public sector employees from BBC, Friends of the Earth, Department for Work and Pensions, the Department of Levelling up, Housing and Communities, and NHS. This shows a clear need for data science training in the workforce, and in March 2022, CDRC's training courses were given full accreditation by CPD UK, which demonstrates the quality of our skills provision and provides us with a platform in future to reach a larger number of beneficiaries. As of 2023, CDRC are also able to deliver Safe Researcher Training - the only university accredited to do so - which allows researchers of all skill levels to gain the requirements needed to access the most secure data sets. Teaching Fellow, Urquhart, also sits on the Safe Researcher Expert Group, ensuring that CDRC continue to feed into safe researcher training and expertise. Another core strand of our commitment to building capacity within the data science workforce is our co-funding of the DSDP run via the Leeds Institute for Data Analytics (LIDA). As of 2024, we have 84 alumni from our Data Scientist Development Programme who have gone into industry or further study, building capacity in private sectors and the academic community alike. As previously noted, DSDP alumni form >10% of the data workforce at Morrisons, a DSDP partner. Moreover, as the Programme Manager of the DSDP, Norman has been a trailblazer in increasing access to data science for the hardest groups to reach. The Government's AI Roadmap recognises that data science in the UK is not representative, and they call on the sector to 'make diversity and inclusion a priority'. With this in mind, Norman has led on developing a series of positive action recruitment initiatives, the process of which began in May 2021. The result of this was an increase from 12% to 44% of Data Scientists who identify as coming from the Global Majority, as well as an increase to 44% of women Data Scientists on the programme in the 2021-22 cohort. In 2022-23, in partnership with ESRC's Vulnerability & Policing Futures Research Centre and Leeds Social Sciences Institute, Global Majority appointees on the DSDP have risen to 50% and women data scientist appointees to 50%. In 2023-24, women and Global Majority appointees respectively reached a record high on the DSDP of 55%. The impacts of this positive action recruitment work go beyond capacity building, though this is clear from the increased percentages of hard-to-reach groups within the DSDP cohort. Impacts from this work are also cultural, with the scheme receiving the University of Leeds 'Equity, Diversity, and Inclusion in Research Culture' prize in 2022, which in turn led to a podcast and article with Norman and Morris to further share this work in December 2022. There are also attitudinal changes - with Norman having worked extensively to change how the University thinks of positive action recruitment alongside the Equality Act - as well as changes in awareness and policy, where Norman's "Strength in Diversity" case study has informed the EDI strategy at Leeds, as well as being used at the Universities of York and Sheffield to enact their own positive action recruitment. We have made commitments to sustaining the impact of this work by using the prize money from the Research Culture award to invest in the Open Data Science for Schools project, working with Keighley Schools Together network to promote data science in hard-to-reach communities, and by writing into ESRC funding bids roles for positive action recruitment for the next 8 years, including positive action for those from low socio-economic backgrounds. Looking at the next destinations of many CDRC alumni gives some clarity on how far-reaching the data skills we develop are within different sectors. From the Centre for Doctoral Training in Data Analytics and Society (CDAS CDT) programme, we have seen researchers move into roles in Bradford Council, The Data City, St John Ambulance, and Health Determinants Research Collaborative at Bradford Council, in addition to those who have moved into roles in academic research. Non-CDAS CDRC PhD students have also gone on to roles at BlackRock and the Competition and Markets Authority. From the DSDP, we have seen alumni move to East Suffolk Council, Department for Work and Pensions, Connected Yorkshire, the ONS, Geolytix, FareShare, Asda, the Met Police, and The Dogs Trust, as well as those Data Scientists who have gone on to further study around the world, including at Leeds, Lancaster, Cambridge, LSE, UCL, Warwick, Bristol, Melbourne, and Auckland. This shows the diversity and multidisciplinarity of our alumni, and the success of both programmes. Our public engagement commitments and growth of new partnerships have provided expanded opportunities for engagement across sectors. We have built capacity by participating in Leeds Digital Festival annually, with a session led by CDRC Co-Investigator Dr Aulona Ulqinaku in September 2021. This innovative tech event continues to provide capacity building for industry and public sector employees through upskilling and knowledge exchange. In 2022, Urquhart and Research Data Scientist Dustin Foley also developed a short-course introduction to coding for the Festival of Social Science. The Leeds City Council Carbon Calculator project also featured as part of the University's 2022 Be Curious festival aimed at children and their families. This was part of a suite of engagement events designed to meet the National Food Strategy's recommendation for an "Eat and Learn" initiative. Other events in this engagement strategy were funded through LSSI as part of the Local Acceleration Fund, which allowed CDRC to turn the carbon calculator into an interactive game to be used in schools. Our capacity building also extends to the new ways in which CDRC has engaged strategically with larger stakeholder networks and the general public. In 2021, CDRC launched a LinkedIn page which has allowed us to share research and training opportunities to community and industry partners, as well as previous alumni. This has been beneficial in recruiting partners to our DSDP, and also enabled us to have record-breaking Conference sign-ups and attendance for CDRC's 2022 Conference: Inside Consumer Data, with over 190 conference registrations and 110 attendees on the day, including many of our project partners from retail and local government. Additionally, our partnerships grew and were strengthened throughout 2021 thanks to the Business Development Strategy launched in early 2021. Some of our key partnerships since then include: IGD, Leeds City Council, OHID, and Which?. We have also signed a master collaboration agreement with Asda, which is the first of its kind and has allowed us to work with the organisation on a range of different research projects. We have also been able to secure data sharing agreements with other key retailers as part of our strategic partnership with IGD. We have also extended our contract with Spectus.ai to have further access to their data. As these data formed the basis of the impactful research on COVID Christmas mobility patterns, we know this represents a substantial pathway to impact for CDRC. Through our Data Science and Society CDT, we have continued relationships with organisations such as TransUnion (formerly CallCredit), Myfood24, Leeds City Council, Improbable Worlds, Sainsbury's, Fuell (formerly Active Inspiration), CycleStreets.net, Arup, First Group, and Morelife and are continuing to seek further partnerships with transport organisations, nutrition organisations and a car rental organisation among others. Our partnerships through our Data Scientist Development Programme include Morrisons, Yorkshire Water, MOSL, Arup, REaD Group, Good Food Oxfordshire and Leeds City Council, and have prospective relationships with data providers, councils and combined authorities, and research consortia. This points to our ongoing excellence in securing and sustaining important relationships with data providers and users and is a clear recognition of our strengths in ethical and responsible data stewardship. Recognition of expertise The awards, prizes, and recognition CDRC research has received speaks to our research excellence. In 2022, Co-Director Professor Ed Manley received the Philip Leverhulme Prize for Geography, and CDRC as a whole received Research Culture prizes from the University of Leeds for our EDI approaches, and for our demonstration of Open Research and Impact. There were also 3 awards made by the University under the Engaged for Impact award scheme, with researchers and professional staff at CDRC receiving first place in the "Building partnerships and networks" and "Caring for the Future" categories, and second place in the "Finding a Better Way" category. Awards were judged by an external panel of impact experts. As a result of these awards, both Ennis and Birkin were invited to appear on the University's Research Culture podcast, and Norman and Morris were also featured as part of a University podcast on Improving Representation on the DSDP. Norman has also been invited to talk about positive action recruitment across the University, as an example of best practice. In 2023, the Nutrition and Lifestyle Analytics sub-team won the ESRC Celebrating Impact prize in the Outstanding Business and Enterprise impact category, which led to Dr Jenneson and Dr Pontin participating in the University's Research Culture podcast to discuss best practice in early career research impact. Our expertise as researchers has also been recognised through CDRC colleagues' appointments to advisory panels, in the public, private, and third sectors. Among our Professors, Birkin has participated in a consultation on Vulnerable Communities with Government Office for Science in 2021, as well as the EDIF Steering Group, held jointly by the Department for Transport, Urban Observatories, Alan Turing Institute, in 2022, and the Digital Twin Hub Advisory Board in 2023, hosted by the Connected Places Catapult on behalf of UK Government, Business and Industry. Birkin was also made Fellow of the Academy of Social Sciences in 2018. Manley is an Associate Editor of the Applied Spatial Analysis and Policy journal, and chaired the GIScience Research Group at the Royal Geographical Society between 2018 and 2021, where he remains a Fellow. Morris was appointed as Advisor on Food and Drink Sector Council Nutrition and Innovation Working Groups in 2020, and appointed to the Steering group for Centre for Applied Education Research in 2023. In 2022, Morris's research projects with Sainsbury's and IGD were referenced and recognised at the 'What Works for diet shift' workshop hosted jointly by the Food Standards Agency and Behavioural Insights Team, at which were researchers within the industry and policymaking. Morris was also invited to form part of Leeds City Council's local food strategy working group. Co-Director Professor Nik Lomax joined the Science and Industrial Advisory Board (SIAB) of the UK Exascale Project in 2023, as well as being a member of the Data Analytic Facility for National Infrastructure (DAFNI) Strategy Board. He was also an Advisor to Ministry of Justice work on data governance between 2021 and 2022. Following on from the CDRC's SPENSER project (a synthetic population estimation and projection model), evidence provided by Lomax to the National Infrastructure Assessment about the impact of transport and housing constraints on the growth potential of UK cities was used in recommendations which were partially endorsed by UK Government. In Professor Susan Grant-Muller attended the 1st Session of the UN Human Settlements Programme (UN-Habitat) Assembly, and was also appointed to the VOI advisory board (2020), the International Association of Public Transport (UITP), and the Department for Transport Scientific Advisory Council, all in 2020. In 2023, Grant-Muller also gave expert witness evidence to the House of Commons Transport Committee, on the topic of the Future of Transport Data. In 2022, former Co-I, Professor Alison Heppenstall was invited to be a Scientific Board member for the Turing AIUK annual conference (2022), was invited as a speaker at the International Spring School on Simulation (2022), and invited to be the keynote for European Social Simulation Association conference (2022). She was also appointed as scientific committee member for the International Conference on Autonomous Agents and Multiagent Systems for 2021 and 2022 as well as having been invited to join scientific organising committee for the International Workshop on Geospatial simulation, which took place in Beijing, China in November 2021. Professor William Young was invited as the keynote speaker to Financial Times conference (2021), as well as appointed as Advisor to Defra (2021) and Advisor to UNEP (2021). We have also seen the expertise of our early- and mid-career research staff recognised through appointments. Jenneson was seconded to the National Food Strategy team (DEFRA) during her CDRC-funded PhD. Former Data Scientist Simon Leech was awarded the ONS Research Excellence Award in 2021 for his Local Data Spaces Project, and Dalton was also recognised for her research in 2022 and was personally invited to participate in The Alan Turing Institute's 'The Cabaret of Dangerous Ideas' (CoDI) and the Early Career Researchers' Net-Zero Retreat, to which Pontin was also invited. In February 2021, Lomax and Dr Stephen Clark also used their research into consumer vulnerability to respond to the Competition and Markets Authority's (CMA) call for information on 'Algorithms, competition and consumer harm'. CDRC also provided insight to the UK Government on its Data Strategy and its consultation, 'Data: A New Direction'. As an organisation that prides itself on its responsible data stewardship and security, as well as its research excellence in data science for public good, we want to ensure that the recognition of our expertise informs perceptions around public data and informs public trust. Therefore, we see one of CDRC's central impacts as not only increasing capacity and preparedness within universities and research institutions, but also in creating attitudinal change within the general public that allows data science research to continue to happen for public good. We are likewise increasing industry confidence in data analysis, with a number of our external collaborations happening because we are able to provide ethical and secure data analysis on projects that benefit the public.
Sector Agriculture, Food and Drink,Communities and Social Services/Policy,Construction,Digital/Communication/Information Technologies (including Software),Education,Energy,Environment,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Retail,Transport
Impact Types Cultural

Societal

Economic

Policy & public services
 
Description Advising on development of new electronic vulnerability index for Department for Education
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
Impact Index is under development, but intends to provide a consolidated approach for identifying vulnerable populations through their engagements with local authorities.
 
Description Advisor to Ministry of Justice work on data governance - Nik Lomax (2021-22)
Geographic Reach National 
Policy Influence Type Membership of a guideline committee
 
Description Beginner's Python 2-day Training Short course - Oct 2020 (48 attendees; tutor Fran Pontin)
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Beginner's Python for Data Analysis Training course - March 2021 (28 attendees; tutor Fran Pontin)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Beginners Python for Data analysis training course, two days (10 attendees) - February 2024
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Beginners Python for data analysis training course, two days (11 attendees, including including external attendees) - December 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Best practice publication through the IGD Healthy and Sustainable Food partnership
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact Retail sector changing approach to interventions to improve the health and sustainability of consumer diets.
URL https://www.igd.com/Social-Impact/Health/Reports/Healthy-sustainable-diets-Driving-change-April-2023...
 
Description Best practice publication through the IGD Healthy and Sustainable Food partnership
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact Retail sector changing approach to interventions to improve the health and sustainability of consumer diets.
URL https://www.igd.com/social-impact/health
 
Description Change in Industry Pricing Standards following Which? and Priority Places work
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact The retailer has decided to rectify the issue, with Tesco UK Chief Executive writing in a recent blog post: "If you are in store, you will now start to see that the way that we display our Clubcard Prices will not only show the total price, but also the unit price of the product (by volume or weight), to allow a direct comparison of the price per unit between the Clubcard Prices offer and the price of alternative products. "This is something that we have been planning to do for some time, and I am really pleased that we are ready to make the change. "Over the coming weeks, these changes will appear in all our stores, as our colleagues update millions of price labels on the shelf edge. We will also be adding these unit prices to our Clubcard Prices deals online."
URL https://www.journaloftradingstandards.co.uk/retail/unit-pricing-on-tesco-clubcard-deals/#:~:text=Tes...
 
Description Consulting on the development of a mentorship programme for the UoL Horizons Institute - Kylie Norman - Dec 2022
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Contribution to "Data: A New Direction" consultation
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
Impact The consultation response we provided led to further discussions with consumer champions, Which?, who were concerned about how changes in data legislation would impact consumers. Our further input into Which?'s thinking allowed them to lobby the Government further on safeguarding consumer data.
 
Description Contribution to consultation on Developing workforce skills for a strong economy
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description EDI Lead for Leeds Institute for Data Analytics Committee - Nov 2022 - Kylie Norman
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Expert witness to House of Commons Transport Committee: Future of Transport Data
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description Fairness in the Food Supply Chain Inquiry (Environment, Food and Rural Affairs Committee) - Oral evidence provided by Dr Fran Pontin
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL https://committees.parliament.uk/work/7682/fairness-in-the-food-supply-chain/publications/oral-evide...
 
Description Fairness in the Food Supply Chain Inquiry (Environment, Food and Rural Affairs Committee) - Written evidence
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL https://committees.parliament.uk/writtenevidence/122986/default/
 
Description House of Lords Environment and Climate Change Committee Report - Michelle Morris
Geographic Reach National 
Policy Influence Type Citation in other policy documents
URL https://committees.parliament.uk/publications/30146/documents/174873/default/
 
Description IGD Report - December 2022 - Michelle Morris
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact Retail sector changing approach to interventions to improve the health and sustainability of consumer diets.
URL https://www.igd.com/articles/article-viewer/t/healthy-sustainable-diets-driving-change-december-2022...
 
Description IGD Report - October 2022 - Michelle Morris
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact Retail sector changing approach to interventions to improve the health and sustainability of consumer diets.
URL https://www.igd.com/articles/article-viewer/t/healthy-sustainable-diets-driving-change/i/30157
 
Description Implementation of CDRC Open Data Science Bursary
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Influence on UoL EDI Strategy: Positive Action recruitment policy 2022
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Contribution to new or improved professional practice
Impact • This case study was successfully used by University of York in 2022 to enact their own positive action recruitment, and now represents a blueprint for how to do positive action effectively to level-up opportunities for underrepresented groups in recruitment to data science. • CDRC-Leeds's DSDP Co-ordinator, Kylie Norman, is an EDI Lead at the University of Leeds and spoke at the February 2023 Research Culture Carousel to an internal and external audience about the value of EDI allyship and how to carry out successful positive action recruitment. • Equitable recruitment practises within data science at CDRC-Leeds are part of a sustainable pipeline of EDI strategic activity, supported by CDRC-Leeds's suite of vision statements, in particular its Values Statement (see attached). EDI has been embedded as a strategic focus through appointments such as the DSDP academic advisory group EDI Chair, Dr Sajid Siraj. This appointment will enable CDRC-Leeds to further develop its approach to embedding EDI in its capacity building of early career data scientists. • CDRC-Leeds's work on positive action recruitment was recognised by the University of Leeds in June 2022 by being awarded the Research Culture EDI in Research prize which led to a podcast and article to further disseminate this work in December 2022. • The research prize from this award is funding a CDRC-Leeds project, Open Data Science for Schools, which is working with the Keighley Schools Together network in Bradford to widen participation from low income and protected characteristics years 8 & 9 students by inspiring them with data science careers, with the aim of encouraging them to stay in STEM education through GCSE into A Level. An outreach event is planned for May 2023, devised and delivered by CDRC data scientists, in partnership with Raspberry Pi's Code Club and local stakeholders such as Bradford City Council's Alliance for Life Chances. * DSDP Programme Co-ordinator Kylie Norman was invited to speak at the University Research Culuture Carousel alongside the Dean and Directors for EDI about the value of positive action recruitment as a tool for increasing equity in recruitment.
URL https://spotlight.leeds.ac.uk/EDI-strategy/
 
Description Intermediate R Training course (13th February 2023, 15 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Intermediate R Training short course - Dec 2020 (35 attendees; tutors RH, EK and AC)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Intermediate R training course - April 2021 (Hodgett, Konstantinidis and Choicharoon)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/intermediate-r-online/
 
Description Intermediate R training course - Jan 2022 (Hodgett, Konstantinidis and Choicharoon)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/intermediate-r-online/
 
Description Intermediate R training course - Sept 2021 (Hodgett, Konstantinidis and Choicharoon)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/intermediate-r-online/
 
Description Intermediate R training session (13 attendees) - November 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Intro to R Training Course - April 2021 (Richard Hodgett, Manos Konstantinidis and Aritad Choicharoon)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/introduction-to-r-online/
 
Description Intro to R training course - Jan 2022 (Hodgett, Konstantinidis and Choicharoon)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/introduction-to-r-online/
 
Description Intro to R training course - Sept 2021 (Hodgett, Konstantinidis and Choicharoon)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/introduction-to-r-online/
 
Description Introduction to ArcGIS training course
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-arcgis/
 
Description Introduction to Data Science, Ethics and AI Training Course - 16th March 2020 (30 attendees, various tutors)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS (24th October, 12 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS - Internal Data Science Development Programme course
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS training course (13 academic staff attendees) - September 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS training course (5 attendees) - October 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS training course (March 7th 2023, 7 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS training short course - Dec 2020 (18 attendees; tutor Rachel Oldroyd)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R Training short course - Nov 2020 (32 attendees; tutors RH, EK, and AC)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R training course (10th October 2022, 22 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R training course (17 attendees) - October 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R training course (22nd April 2022 - 26 atendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R training course (2nd August 2022, 18 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R training course (31st January 2023, 21 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R training course (York SJ University, 13th April 2022, 20 attendees)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Invited to become a member of the Future Leaders Fellowship (FLF) Core Panel - Mark Birkin - 30th Jan 2020
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Ivana Kocanova's intern project in collaboration with Sainsbury's (Quanticode): Influenced retialer's product portfolio (2019/20)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Citation in other policy documents
 
Description Member of Environmental Labelling Consult Group for development of UK cross-sector carbon eco-label led by IGD
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description Member of Environmental Labelling Consult Group for development of UK cross-sector carbon eco-label led by IGD
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact Research report shared with Defra Food Data Transparency Partnership
URL https://www.igd.com/Social-Impact/Sustainability/Reports/Environmental-labelling-for-the-UK-food-ind...
 
Description Member of Technical Working Group on Population Movement Data
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
Impact Sharing best practices on use of population movement data in policy with national government.
 
Description Memorandum of Understanding with Office of National Statistics
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
 
Description Mobility Data in Urban Science Workshop
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Novel data linkages for health and wellbeing (Prof Michelle Morris)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.turing.ac.uk/research/interest-groups/novel-data-linkages-health-and-wellbeing
 
Description Open Data Science for Schools Outreach project and Priority Places for Food Index cited in the Child of the North APPG report 2023
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL https://www.healthequitynorth.co.uk/app/uploads/APPG-REPORT-SEPT-23.pdf
 
Description Participation in Department for Transport consultation on agent-based modelling
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
Impact The modelling approach provides numerous advantages for tackling issues of transport inequity, health impacts of transport, and accessibility, that are not afforded by conventional modelling approaches. The new guidance will support the wider development of these models in the UK.
 
Description Participation in Safe Researcher Expert Group
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
 
Description Priority Places for Food Index used in the decision to make a Tesco store an Asset of Community Value
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Citation in other policy documents
URL https://committees.westminster.gov.uk/documents/s57263/2-4%20Dean%20Street%20ACV%20Officer%20Decisio...
 
Description Safe Research Training course (14 attendees) - October 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact Attendees of this training course are encouraged to complete post-course assessment to achieve Safe Researcher Accreditation. Safe Research Accreditation is a recognised qualification across academia and all data services, allowing researchers to work with secure and safeguarded data sets responsibly.
 
Description Safe Researcher Training - Pilot event - June 2023 - 5 PGR attendees
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Secondment to National Food Strategy team (Defra), modelling potential food taxation strategies to improve public health and dietary sustainability. To inform recommendations for NFS part 2 report which will be developed in a Government White Paper.
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description TRAINING: Geocomputation and Data Analysis with R (25-26/04/2019)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/geocomputation-and-data-analysis-with-r/
 
Description TRAINING: Intermediate R (19/07/2019)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-r-3-copy/
 
Description TRAINING: Intermediate R, 23rd January 2020 (39 attendees, 16 from the private sector)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/intermediate-r/
 
Description TRAINING: Introduction to Data Science (5-6/12/2019)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description TRAINING: Introduction to Python for Data Analytics (14-15/11/2019)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-python-for-data-analytics-2/
 
Description TRAINING: Introduction to Python for Data Analytics (2-3/05/2019)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-r-3/
 
Description TRAINING: Introduction to QGIS (15/03/2019)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-qgis-4/
 
Description TRAINING: Introduction to QGIS (17/10/2019)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-qgis-4-copy/
 
Description TRAINING: Introduction to QGIS with Raster data, 24th January 2020 (commissioned by private company JBA Risk Management)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-qgis-with-raster-data/
 
Description TRAINING: Introduction to R (22/10/2019)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description TRAINING: Spatial Analysis for Public Health Researchers (21/10/2019)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/spatial-analytics-for-public-health-researchers/
 
Description TRAINING: Spatial Analysis for Public Health Researchers, 17th Feb 2020 (10 attendees)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/spatial-analytics-for-public-health-researchers-copy/
 
Description TRAINING: Tableau Workshop (27/06/2019)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/tableau-workshop-3/
 
Description TRAINING: Transport Data Science with R (05/04/2019)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/transport-data-science-with-r/
 
Description TRAINING:Introduction to R (29/04/2019)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-r-3/
 
Description Tableau Visualisation Workshop - March 2021 (Roy Ruddle)
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/education-and-training/annual-training-programme/tableau-workshop-on-data-vis...
 
Description Tableau Visualisation training workshop (March 20th 2023, 25 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Tableau training course (28th April 2022, 10 attendees)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Theme Lead on Alan Turing Institute report on AI and Data Science in the Age of COVID-19
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
Impact Report will address the positive uses of artificial intelligence in policymaking during the handling of the COVID-19 pandemic, with an aim of influencing future national policymaking.
 
Description Two Day Python for Data Analysis training course (21 attendees) - August 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Two day Beginners Python training course (7th/8th November 2022, 26 attendees)
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Two day beginners Python training course (10 attendees) June 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description UnHabitat inaugural assembly
Geographic Reach Multiple continents/international 
Policy Influence Type Membership of a guideline committee
 
Description Upskilling a diverse data workforce through the Open Data Science Bursary
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
Impact We know from the data we analyse, as well as the cohorts of data scientists we upskill, that there is a lack of diversity and representation in data science. For this reason, the UK's AI Roadmap calls for those working in data to "Make diversity and inclusion a priority. We suggest benchmarking and forensically tracking levels of diversity to make data-led decisions about where to invest and ensure that underrepresented groups are given equal opportunity and included in all programs." As part of our goal to make data science more inclusive and equitable, we introduced this bursary to target the data scientists (or people interested in becoming data scientists/career changers) who are hardest to reach. So far, 11 students have redeemed the bursary funds to cover their course fees, and this is the maximum available with our current budget. We are currently exploring how to include the same budget in future years to continue to make this opportunity available.
 
Description Which? Consumers in Northern Ireland - A food briefing
Geographic Reach National 
Policy Influence Type Citation in other policy documents
 
Description Which? Consumers in Scotland - a food briefing
Geographic Reach National 
Policy Influence Type Citation in other policy documents
URL https://www.which.co.uk/policy-and-insight/article/consumers-in-scotland-a-food-briefing-awIcQ9Q9f8D...
 
Description Which? Consumers in Wales - a food briefing
Geographic Reach National 
Policy Influence Type Citation in other policy documents
URL https://www.which.co.uk/policy-and-insight/article/consumers-in-wales-a-food-briefing-aWZeE3U41iVb
 
Description Written evidence to "The right to privacy: digital data" inquiry
Geographic Reach National 
Policy Influence Type Implementation circular/rapid advice/letter to e.g. Ministry of Health
URL https://committees.parliament.uk/writtenevidence/43526/html/
 
Description 'MAAP Leeds (Mapping Advertising Assets Project' - Victoria Jenneson Principle Investigator, Michelle Morris, Imani Wilson (Research Assistant)
Amount £10,454 (GBP)
Organisation University of Leeds 
Department Impact Accelerator Award
Sector Academic/University
Country United Kingdom
Start 01/2023 
End 03/2023
 
Description ADR UK Local Data Spaces Pilot Project (Simon Leech internship 2020-21)
Amount £15,500 (GBP)
Organisation Administrative Data Research Network 
Sector Charity/Non Profit
Country United Kingdom
Start 11/2020 
End 04/2021
 
Description Alan Turing Institute fellowship
Amount £105,000 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 09/2018 
End 09/2020
 
Description Alan Turing Project
Amount £357,700 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 09/2018 
End 05/2022
 
Description Centre for Spatial Analysis and Policy funding
Amount £510 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 05/2019 
End 07/2019
 
Description Consumer Data Research Centre - Legacy Status
Amount £106,513 (GBP)
Funding ID ES/Y010620/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 02/2024 
End 02/2029
 
Description DIO-Food (Diet and Health Inequalities)
Amount £500,000 (GBP)
Organisation United Kingdom Research and Innovation 
Sector Public
Country United Kingdom
Start 07/2023 
End 10/2024
 
Description DigitalFootprint Data service funding
Amount £175,119,534 (GBP)
Funding ID ES/L011891/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 03/2022 
End 09/2024
 
Description ESRC IAA: Local Acceleration Fund (via Leeds Social Sciences Institute)
Amount £13,725 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2022 
End 06/2022
 
Description Effects of Multinational Firms' Exit Strategies Following Economic Sanctions
Amount 706,663 kr. (DKK)
Funding ID CF22-0635 
Organisation Carlsberg Foundation 
Sector Charity/Non Profit
Country Denmark
Start 01/2023 
End 06/2024
 
Description Engaged for Impact Award
Amount £1,000 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 07/2022 
End 07/2023
 
Description Engaged for Impact Award Funding, "Caring for the Future"
Amount £3,000 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 07/2022 
End 07/2023
 
Description Engaged for Impact Award Funding, Building partnerships and networks
Amount £3,000 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 07/2022 
End 07/2023
 
Description FIO-FOOD, Food Insecurity in people living with Obesity - improving sustainable and healthier food choices in the retail FOOD environment.
Amount £2,117,714 (GBP)
Funding ID BB/W018020/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 08/2022 
End 08/2025
 
Description Healthcare Workers: an in depth virological analysis and behavioural study during the outbreak
Amount £1,500,000 (GBP)
Funding ID MC_PC_19082 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 03/2020 
End 09/2021
 
Description Healthy and Sustainable Diets
Amount £900,000 (GBP)
Organisation Institute of Grocery Distribution 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2021 
End 12/2026
 
Description Healthy soil, Healthy food, Healthy people (H3)
Amount £6,394,271 (GBP)
Funding ID BB/V004719/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 01/2021 
End 01/2026
 
Description Leeds for Life Conference Award
Amount £400 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 05/2019 
End 07/2019
 
Description Micromobility behaviour
Amount £104,000 (GBP)
Organisation World Resources Institute 
Sector Charity/Non Profit
Country United States
Start 09/2019 
End 12/2020
 
Description New and Emerging Data Forms
Amount £250,000 (GBP)
Funding ID ES/P01139X/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 02/2017 
End 02/2018
 
Description Open Data Science for Schools continuation funding 2023-24
Amount £3,500 (GBP)
Organisation Higher Education Innovation Funding (HEIF) 
Sector Public
Country United Kingdom
Start 07/2023 
End 07/2024
 
Description Open Research and Impact Award Funding
Amount £3,000 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 07/2022 
End 07/2023
 
Description PROSPER: Promoting Recruitment for Open Science & Pipelines of Employment for Retention; PI = Kylie Norman, CoI = Emily Ennis
Amount £15,947 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 09/2023 
End 07/2024
 
Description Philip Leverhulme Prize
Amount £100,000 (GBP)
Organisation The Leverhulme Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2023 
End 04/2025
 
Description Quantifying Utility and Privacy Preservation in Synthetic Populations (QUiPP)
Amount £408,611 (GBP)
Funding ID TPS2019\100019 
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 09/2019 
End 03/2021
 
Description RAIM
Amount £622,000 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 02/2020 
End 01/2023
 
Description RAMP Continuity Network: Scientific Meetings, Rapid Review Group, and Policy Support for COVID-19
Amount £527,213 (GBP)
Funding ID EP/V053507/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 01/2021 
End 07/2022
 
Description Raphtory: a practical system for the analysis of dynamic graphs
Amount £193,000 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 12/2019 
End 11/2020
 
Description Real-Time Advanced Data assimilation for Digital Simulation of Numerical Twins on HPC (RADDISH)
Amount £400,000 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 09/2019 
End 03/2021
 
Description Research Culture EDI in Research Award Funding - June 2022
Amount £3,000 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 11/2022 
End 07/2023
 
Description School of Design Research Fund
Amount £299 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 02/2024 
End 04/2024
 
Description TRACK: Transport Risk Assessment for COVID Knowledge
Amount £3,126,526 (GBP)
Funding ID EP/V032658/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 08/2020 
End 03/2023
 
Description The Carbon Footprint of Traditional Food Markets (Collaboration between CDRC and Global Food and Environment Institute) PI = Emily Ennis
Amount £45,094 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 11/2023 
End 07/2024
 
Description Vulnerability and Policing Futures Research Centre
Amount £7,976,109 (GBP)
Funding ID ES/W002248/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 04/2022 
End 04/2027
 
Description WHO European Office for Non-Communicable Diseases, travel funding
Amount £1,104 (GBP)
Organisation World Health Organization (WHO) 
Sector Public
Country Global
Start 12/2022 
End 12/2022
 
Description i3food: Information, Interventions and Inequalities in the UK food system
Amount £47,729 (GBP)
Funding ID MR/T045027/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 04/2020 
End 10/2020
 
Title Aggregated Department of Transport Data Cycling for Bradford: Hourly, Daily, Monthly, and Yearly Timeframes Dataset (2000-2022) 
Description The dataset comprises aggregated cycling data for Bradford, sourced from the Department of Transport. It features several temporal resolutions: daily, monthly, and yearly. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact The cycling dataset for Bradford, with time series, has allowed analysis of cycling trends and their relationship with weather and facilitated the creation of an interactive map denoting active travel in Bradford. Additionally, it has been utilised as ground truth data. Plans to publish this dataset in the near future. 
 
Title Aggregated Traffic Count Data for Quantifying Active Travel in Bradford 
Description The dataset aggregates active travel data, including pedestrians, cyclists, and e-scooters, from converted Excel files to CSV format. It filters and sums specific activity counts while incorporating site and date details for context. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact This streamlined dataset has aided in analysing active travel trends. 
 
Title Airbnb Property Rentals and Reviews (supplied by AirDNA) 
Description This data profile describes a dataset held by the CDRC which has been supplied by AirDNA LLC. AirDNA provides data and analytics to vacation rental entrepreneurs and investors. By tracking the daily performance of over 4.5 million listings across 60,000 markets worldwide, AirDNA presents market reports and other data products that feature occupancy rates, seasonal demand, and revenue generated by short-term rentals. The foundation of AirDNA is built upon having the most accurate historical and forward-looking Airbnb analytics in the world. Every couch, house, and castle listed on Airbnb is analysed each day to pick up the nuances of the listing and its booking behaviour. In this dataset close to 150 data points are recorded for over 1,200,000 Airbnb rentals across England, Scotland, and Wales, to provide unique insights into the performance of each property and host. The dataset includes, for all of Great Britain and spanning 8 years in total: Historical data (monthly and daily listing performance) Host data Property data Review data The dataset was greatly expanded to include more recent time periods and the whole of Great Britain in December 2022 due to the updated agreement between CDRC and AirDNA. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This dataset has resulted in 14 initial enquiries to the data service in the last 3 months, with one project currently in receipt of the data. 
URL https://data.cdrc.ac.uk/dataset/airbnb-property-rentals-and-reviews-supplied-airdna
 
Title Automating a Nutrient Profiling Model (dashboard, currently unpublished) 
Description Development of an R Shiny dashboard containing an automated Nutrient Profiling Model as the main output for a 6-month LIDA internship project. There are two versions of the dashboard: one that is designed for public use, and a second with additional analytics that was specifically requested by the project partner. 
Type Of Material Data analysis technique 
Year Produced 2021 
Provided To Others? No  
Impact Once published (URL to be confirmed), the aim is that the public dashboard will be made available to any retailer who needs to identify the HFSS status of their products in preparation for upcoming government legislation regarding products that are high in fat, salt and sugar. 
 
Title CDRC Carbon Footprint Calculator - Prototype version. 
Description An interactive dashboard, co-produced with Leeds City Council to provide a decision-making tool as part of their net-zero strategy. The tool requires an upload of a menu with ingredient breakdown. Using the recipe upload, the tool uses a carbon footprint lookup created using open data, to generate UK based estimated for the carbon footprint of the ingredients in the meal along with an aggregated value for each meal. The dashboard was created using Rshiny apps and is available as a webpage, provided to Leeds City Council members and catering staff. The prototype version has been developed to evaluate school meals in Leeds, as a follow up analysis of the recent 'climate friendly' menus introduced across the city. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? Yes  
Impact The Carbon Footprint Calculator has been developed to support decision making as part of the Leeds Climate Strategy and to help achieve their Net Zero targets, by reducing the greenhouse gas emissions resulting from the Leeds food system. The development of this prototype tool has enabled conversations with and presentations to policy makers and social impact organisations in Leeds, sparking further application of the tool and engagement work. The development of this tool has also resulted in us running school engagement workshops with primary schools in Leeds, to extend the benefits and learnings from the tool to school children. Insights from the tool are being used to shape the type of data requested in future food contracting/supplier choice by the council. The insights are also being used to inform and re-design the school meals setting and meals that are on offer. The prototype has been trialled and feedback has been obtained as to the tool's current usability. This feedback has now been used to refine a final version of the CDRC Carbon Footprint Calculator and develop strategies to reduce Leeds' carbon footprint, future-proofed for application to be explored beyond school meals. 
URL https://daltona.shinyapps.io/CF_Calculator_Prototype1/
 
Title CODiT (Covid Open-source Digital Twins model) 
Description Open-source model (hosted on GitHub) for tracking potential spread of Covid through a population, originally designed by Dr. Jeremy Large of Oxford. Customisable elements of the model include infection rates, lockdown measures/adherence, vaccination rates, households, workplaces, schools, care homes, hospitals, and random ephemeral contact with other individuals. Latest updates provided by CDRC included mapping locations to wards in order to track ward-level infection rates, the capability of modelling multiple vaccination doses per individual, and additional documentation. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? Yes  
Impact Presented to Leeds City Council for consideration in local lockdown measures and vaccine rollouts. May be applied to future decision making for outbreaks of variants or other diseases. 
URL https://github.com/jeremy-large/CODiT
 
Title CoSMoNorth: Comprehensive Spatial Model of the North 
Description The research outputs are i) the calibrated baseline agent base simulation model for the Northern Powerhouse region using tools that aid modelling in MATSim (Arup developed and otherwise) and support from City Modelling Lab at Arup and ii) the scripts to extract/handle data, apply the tools and regenerate the model. The data used for this model cover datasets from National Travel Survey, 2002-2020: Special Licence Access (i.e. households, persons and trips datasets), projected household and person datasets using SPENSER, Census, OSM, GTFS etc. One reason behind the construction of a large-scale transport model of the North is to apply the model to implement and address policy, societal and economic changes/plans happening in the North due to the government's Northern Powerhouse vision. Another purpose of the project stems from the need to have a baseline consolidated modelling framework for spatial simulation research applications at LIDA and University of Leeds. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact This simulation is still a work in progress and there have been minor updates of the overall direction of the project in the course of the development. One notable impact was that collaborations with University of Newcastle has been pursued which it has resulted in significant progress in terms of incorporating SPENSER outputs into population synthesis stage of the model construction. 
 
Title Code to cluster properties and hosts in the AirDNA short term rentals dataset 
Description This code details the applications of K-means and K-medoid algorithms for the classification of hosts and properties belonging to the AirDNA dataset. 
Type Of Material Computer model/algorithm 
Year Produced 2023 
Provided To Others? No  
Impact The classification results are to be used in conjunction with the results of a sentiment analysis of guest review text to identify and determine correlations between clusters and guest sentiments. Intended realisation of impact not known yet. 
 
Title Code to perform analysis in journal article: https://doi.org/10.1016/j.aap.2022.106895 
Description This github repo provides the code and data that underpin the analysis published in the above article. 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? Yes  
Impact Journal article: https://doi.org/10.1016/j.aap.2022.106895 
URL https://github.com/PublicHealthDataGeek/Contraflow_cycling_safety/tree/v1.0
 
Title Compass Connected Car Vehicle Trajectories and Behaviours 
Description This data profile describes a dataset held by the CDRC which has been supplied by Compass IoT. The dataset is composed of vehicle trips undertaken across the UK during the month of October 2023. The dataset contains vehicle trips carried out across the UK. The dataset includes >4.3 million trips made by >930,000 vehicles. The dataset comprises vehicles of different types and sizes for commercial and private transportation. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? No  
Impact To our knowledge, this is one of the first times connected vehicle trajectory data with detailed information on breaking and swerving has been made available for academic research purposes. This dataset can help improve understanding of urban mobility parameters of interest such as travel times, trip distribution and identification of common UK travel routes. Also, this dataset can provide useful research insights to characterize mobility and dangerous driving behaviour, help minimize commute times, and increase individual productivity, as well as transportation planning. Advancing research within these aspects could ultimately impact in reducing injury and mortality rates, as well as greenhouse gas emissions and energy consumption. 
 
Title Consumer Vulnerability 
Description Some consumers are more vulnerable to marketing practices due to their personal traits such age, health or household makeup. This vulnerability varies by product and industry. Consumer vulnerability here is defined as the risk that a consumer's mental, physical or financial welfare may be damaged when engaging in a market interaction. While consumer vulnerability has been discussed at length in academic literature and regulatory guidelines, there has not been a comprehensive geographical assessment of consumer vulnerability in the United Kingdom. This study creates a geodemographic classification of consumer vulnerability at output area level. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact This is an open data map which is available publicly via the CDRC website, and which has led to further projects in the theme of consumer vulnerability. 
URL https://data.cdrc.ac.uk/dataset/consumer-vulnerability
 
Title Continuous Flow Detection Algorithm 
Description The developed algorithm analyses smart meter consumption data to detect instances of continuous flow (likely pipe leaks). A continuous flow is defined as being any flow that exceeds a user-defined minimum flow value for a continuous, prolonged, user-defined time frame. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact Allowed the demonstration of the effects of increasing/decreasing data granularity and the information loss with increased data granularity with respect to the detection of continuous flows within smart meter data. 
 
Title Data Cleaning Process for the CDRC Active Inspiration Dataset 
Description A reproducible method for cleaning the CDRC Active Inspiration data set (https://public.cdrc.ac.uk/dataset/active-inspiration---activity-data), applicable to other secondary physical activity data sources. Full code is published and open source. 
Type Of Material Data analysis technique 
Year Produced 2020 
Provided To Others? Yes  
Impact Insures reproducible future outcomes and sets a precedent for handling of these novel data 
URL https://github.com/FrancescaPontin/Socio-demographic-Determinants-of-Physical-Activity-and-App-Usage...
 
Title Data Collection - Local level estimates of food, drink and tobacco expenditure for Great Britain 
Description Expenditure estimates for individual commodities (n = 106) at the Local Authority District level (n = 380) in Great Britain for the years 2008 - 16 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Utilised by researchers as part of the PigSustain project, which uses a multi-disciplinary, integrated systems approach to model and assess the resilience of the UK pig industry historically, currently and in the future. 
URL https://springernature.figshare.com/collections/Local_level_estimates_of_food_drink_and_tobacco_expe...
 
Title Dataset: Roads that introduced contraflow cycling in Inner London, UK 1998-2019 
Description This dataset contains details of all roads in Inner London UK where contraflow cycling (legally cycling against the flow of motor vehicles) was introduced between 1998 and 2019. It was constructed as a primary data collection from the National Public Record (The Gazette) from the Traffic Regulation Orders that provide the legal exemption for cyclists to legal cycle in this way. It includes multiple variables including spatial representation of the roads and date of implementation. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Published in the following journal article based on analysis of this dataset: https://doi.org/10.1016/j.aap.2022.106895 
URL https://github.com/PublicHealthDataGeek/Contraflow_cycling_safety/tree/v1.0
 
Title Digital twin for food systems 
Description A high-level functional component design for the future enablement of a digital twin application of food systems has been outputted, this in collaboration with CDRC co-directors and Centre Manager. The work carried out has determined potentially relevant data sources, technologies, and approaches to enable the digital twin as a data driven solution for food system stakeholders, including policy makers, to make informed decisions. The technical approaches determined to build the digital twin included identifying core concepts and implementation components and their connectivity relationships, primarily so the data available is maximised in its usage and information provided to the user is of most relevance. To help model the digital twin, schemas of the core dimensions and factors of the food systems were also determined. These dimension and factors of the food systems also guided the identification of initial analysis of data for its transformation and visualisation, and other parameter and aspects of digital twin solutions. 
Type Of Material Data analysis technique 
Year Produced 2024 
Provided To Others? No  
Impact With the aim of gathering further feedback and potential requirements the current above-described work on digital twin for food systems was presented to a broader audience of researchers and professors within the Consumer Data Research Centre (CDRC), Global Food and Environment Institute (GFEI) and University of Leeds. Currently in collaboration with GFEI and other researchers within the University of Leeds, there are plans in place to apply for grants from research funding institutions such as the ESRC. 
 
Title E-food desert index 
Description A multi-dimensional composite index for GB capturing food desert-like characteristics at a neighbourhood (LSOA) level including proximity, density and accessibility of the retail supply side, neighbourhood socio-economic and demographic characteristics and e-commece availability and propensity. Accompanied by a technical 'user guide' and interactive visualisation via CDRC maps. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact This is a newly produced dataset which as had some interest from local media and which has generated two credible requests for further information, one of which may develop into a fruitful collaboration in relation to drivers of house prices. A bespoke version for London is also incorporated as part of: https://www.trustforlondon.org.uk/data/topics/living-standards/ 
URL https://data.cdrc.ac.uk/dataset/e-food-desert-index
 
Title Eatwell Product Classification 
Description This tool classifies food items to food group segments of the UK's EatWell Guide. It is designed to aid automated food group classification for big data sources, such as grocery retailer transaction records. This version of the Eatwell classification tool takes product information e.g. (product name, description, shelving categories) and uses the developed text matching algorithms to assign the food product to a segment of the Eatwell Guide. To reflect real-world baskets in addition to the five standard segments defined in the Eatwell guide products can also be classified as an alcoholic beverage, non-alcoholic beverage, discretionary food, composite food, baby/toddler foods, other (e.g. spices and flavouring) or non-food items (i.e. items that may be purchased alongside food items such as kitchen foil, tooth paste etc.). The full category descriptions, logic behind their inclusion and examples are given in Table 1. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? Yes  
Impact This algortihym is being used to streamline and unify analysis of supermarket transaction data in ongoing work with the CDRC and Institute of Grocery Distribution. It is also being used in house by retailers to classify their products. Use of this algorithm allows purchasing behaviour to be assessed against the Uk's dietary recommendations. 
URL https://github.com/Leeds-CDRC/Eatwell_product_classification
 
Title Fuell - Activity Data 
Description Fuell is a free, innovative and popular lifestyle and fitness app (iOS and Android) which incentivises and challenges its members to be more active. Users can track steps in the app or connect it to a fitness tracker. Users can join challenges to unlock vouchers, sports goods, exclusive experiences and much more. This dataset contains anonymised data at the user level. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Available through the CDRC safeguarded Data Service for applications and is currently being used in a project bid as part of the LIDA data science Internship Programme 2022-23. 
URL https://data.cdrc.ac.uk/dataset/fuell-activity-data
 
Title Geographically Weighted Regression Models with a health outcome as the dependent variable and the Priority Places for Food Index combined/separate dimension(s) as the independent variable(s) 
Description The Geographically Weighted Regression is a statistical and spatial technique which estimates the relationship between the dependent and independent variables by fitting a model at every location within a dataset. Coefficient estimates are computed at every location whilst using the optimal bandwidth parameter - which determines the number of geographic neighbours taken into consideration when fitting the location-specific models. 
Type Of Material Data analysis technique 
Year Produced 2023 
Provided To Others? No  
Impact The ability to identify areas where specific risk factors of food insecurity (e.g., barriers to food purchase, poverty, and deprivation - based on the Priority Places for Food Index) could be contributing to poor health outcomes and high health inequalities. This is done through examining the magnitudes, signs, and spatial distribution of the statistically significant coefficient estimates computed by the model. Ultimately, this would empower policymakers to focus their efforts on ensuring a healthy, safe, affordable, and sustainable food system in areas where it is potentially stretching the already exhausted NHS resources. 
 
Title GitHub for IGD data visualisation 
Description A GitHub account to unify data visualisation techniques and approaches across all IGD intervention analysis. This will allows cross-trial comparison of intervention success across a set of standardised metrics and visualisations. The visuslistaiosm have been designed in conjunction with retailers, and third party organisations to ensure maximum impact in communication to policy makers. 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? No  
Impact Not only has this saved time but it allows improved knowledge sharing between researchers and clearer output communication. 
 
Title Grocery retailer transactions for all stores 2014-2017 (Adam's Cube, 2019) 
Description Seven dimensional SQL Server OLAP Cube containing item category level transactions, by loyalty card where available, for all stores over four years. 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? No  
Impact Research was able to be undertaken using a recordset of ~7.5 billion transaction records, without the need for high performance computing. 
 
Title Identity and meat eating behaviour 
Description Using data from the British Social Attitude Survey, we develop an agent-based model to study the effect of social influence on the spread of meat-eating behaviour in the British population. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? Yes  
Impact The model has led to collaboration with VeganSociety, a CDT PhD project and a project in collaboration with researchers in Pakistan. 
URL https://www.comses.net/codebases/2fd69c45-4cda-4dd0-9a3f-e3c5b70ddae9/releases/1.0.0/
 
Title Isolation and Exclusion in a Social Distancing World (dashboard) 
Description Development of a dashboard as the main output for a 6-month LIDA internship project. The dashboard shows a wider set of impacts of COVID-19 beyond prevalence of disease. 
Type Of Material Data analysis technique 
Year Produced 2021 
Provided To Others? Yes  
Impact No known impacts at present. 
URL https://isolationpostcovid.azurewebsites.net/
 
Title Leeds City Council Footfall Camera Aggregated Data 
Description The dataset contains footfall counts in Leeds City Centre supplied by Leeds City Council. There are 10 cameras around the city that monitor numbers of people walking past. These cameras calculate numbers on an hourly basis. The raw data is freely available on Data Mill North; however a cleaned and aggregated dataset has been produced for the purposes of analysis by Leeds Institute for Data Analytics in collaboration with the Consumer Data Research Centre. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact n/a 
URL https://data.cdrc.ac.uk/dataset/leeds-city-council-footfall-camera-aggregated-data
 
Title Local Data Spaces Dataset 
Description This link holds a dataset page for that outlines the 10 reports for each Local Authority in England, across two consistent core research priorities we found during local authority engagement meetings. The link includes temporal data about the reports, disclaimers, authors and licenses. It contains the 10 reports created by the Local Data Spaces Team involved in the project: Ethnic Inequalities, Geospatial Inequalities, Occupational risk,Demographic Inequalities, Population and Housing, Social Economy, Excess Mortality, Occupational Inequalities, Industry Sector Densities, Women hospitalization risk, Mobility Reports. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact As of 02/09/2021 Dataset had been viewed 1206 times. 
URL https://data.cdrc.ac.uk/dataset/local-data-spaces
 
Title MIAC Analytics dataset 
Description 1. Monthly House Price Index covering the UK split by Land Registry defined property types (All, Detached, Semi-detached, Terraced, Flat): Country (GB, England & Wales, England, Scotland, Wales and Northern Ireland) Regions (ONS defined) County/Local Authority London Borough This equates to 940 time series; 6 Country, 9 Region, 140 County and 33 London Borough, each with 5 property type combinations. Each series includes the following output: Month Average property price Index value Index multiple Monthly Delta (% change monthly) Annual Delta (% change annually) Confidence bands for property values (using +/- 1 and 2 standard deviations) This data series starts at 1995 for England and Wales and 2003 for Scotland. 2. Monthly Rental Index covering the UK split by number of beds (0, 1, 2, 3, >3, All): Country (UK (with/without London), England (with/without London), Scotland, Wales, Northern Ireland) Regional County London Borough This equates to circa 1,128 time series; 7 countries, 9 regions, 139 Counties and 33 London Boroughs each with 6 bed combinations (as above). Each series includes the following output: Month Rental value Index value Index multiple Monthly Delta (% change monthly) Annual Delta (% change annually) Confidence bands for rental values (Percentiles) This data series starts at 2012. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact No impacts as yet. 
 
Title Manually Collected Footfall Counts in Leeds 
Description Manual footfall counts (counts of people who walk past a particular point) were collected at ten sites between the 5th to the 9th of July 2021 between 10:00 and 16:00 each day. At the time of data collection, footfall cameras were installed at three of the ten sites: Briggate, Headrow and Commercial Street. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact n/a 
URL https://data.cdrc.ac.uk/dataset/manually-collected-footfall-counts-leeds
 
Title Mapping Advertising Assets Project (MAAP) - by Francesca Pontin, Alex Hamberley, Imani Wilson and Vicki Jenneson 
Description Over 5 weeks in May and June 2023, 30 neighbourhoods (LSOAs) were visited in Leeds and photographed all the outdoor advertising assets that were found. In particular, we were interested in food and drink products. The data collected help explore the healthfulness of adverts across Leeds. 
Type Of Material Data analysis technique 
Year Produced 2023 
Provided To Others? Yes  
Impact Partnerships - Maintained and strengthened partnership with Leeds City Council, new relationship with Sustain, new relationship with Bite Back 2030, Adfree Cities, new academic relationships - University of Newcastle, and University of Liverpool. Development of a new dashboard tool (MAAP) for exploration of outdoor advertising exposures in visited areas in Leeds. Presentations: • Presentation to Healthier Food Advertising Policy Sub-Group consisting of Public Health representatives from Yorkshire and Humber local authorities - 26th September 2023 9attended by representatives from four local authorities) • Presentation to Leeds City Council Public Health Tam - 11th October 2023 • Presentation at internal research seminar - CDRC research reveals - 7th December 2023 • Presentation at policy projects networking event, University Funding awarded: Leeds Social Sciences Institute (LSSI) and ESRC Impact Acceleration Account (IAA), 'MAAP Leeds (Mapping Advertising Assets Project', 2023 (3 months) (£10,454.48) - Victoria Jenneson Principle Investigator, Michelle Morris, Imani Wilson (Research Assistant) Research England (ESRC), University of Leeds Policy Support Fund, 'MAAP - Mapping Advertising Assets across Leeds Project', 2023 (7 months) (£95,408.11) - Victoria Jenneson Principle Investigator, Francesca Pontin, Charlotte Evans, Michelle Morris, Imani Wilson (Research Assistant) 
URL https://maap-dashboard.azurewebsites.net/
 
Title Mastercard In-Person Transaction Volumes and Values Index (Yorkshire and the Humber) 
Description This data profile describes a dataset held by the CDRC which has been supplied by Mastercard Europe SA. The dataset is composed of anonymised and aggregated data sourced from card transactions. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact This transactional dataset provides insight into the relative growth of 14 different retail industries since January 2020. Six different measures of growth are provided: total spend, number of transactions, number of cards used, average spend per transaction, average transactions per card, and average spend per card. The geographic scale is at the level of postcode sector; roughly, this level is more granular than MSOA but not as granular as LSOA. The diverse variety of retail industries present makes this a particularly novel dataset in the CDRC's data store. The dataset will also be updated monthly, showing relatively current trends, rather than being limited to historical analyses. 
URL https://data.cdrc.ac.uk/dataset/mastercard-person-transaction-volumes-and-values-index-yorkshire-and...
 
Title National Market Traders Federation - Registered Markets 
Description Database created as part of CDRC involvement in collaborative research with the National Market Traders Federation (NMTF). Contains data on 750+ UK retail markets for use in spatial and statistical analysis, including market location, ownership, operating days, type and number of stalls and occupancy by day of the week. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? Yes  
Impact Whilst we are not directly aware of any publications that have originated from use of this dataset, it has been used by MSc students as part of independent project work raising awareness of the CDRC and in one case prompting an application for a funded PhD studentship for related research. 
URL https://data.cdrc.ac.uk/dataset/national-market-traders-federation
 
Title Nightline Analysis Algorithm 
Description Algorithm that uses industry classification labelled smart meter consumption data to analyse the minimum and average flow over the nightline (2-4AM, though this is user definable) on a per-premises basis. Next, the algorithm groups premises-level analysis by the industry classification label to report the minimum and average nightline flow values by industry grouping. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact Aided in the construction of consumption benchmarks by industry segment. 
 
Title Nutrient and Promotion Profile Model - Vicki Jenneson, Janet Cade and Rachel Oldroyd. 
Description Use the NPPM calculator to assess how baby food products perform on aspects of nutrition and promotion. 
Type Of Material Data analysis technique 
Year Produced 2023 
Provided To Others? Yes  
Impact Consumer Data Research Centre, Support for LIDA Data Science Development Programme 2023-24. 'Understanding Public Health Priorities for Baby Foods Across Europe.' (6 months) (£19,500) - Victoria Jenneson Principle Investigator, Janet Cade and Rachel Oldroyd. New partnerships: • WHO European Office for Non-Communicable Diseases • WHO Collaborating Centre for Nutritional Epidemiology, University of Leeds 
URL https://babyfoodnppm.org/
 
Title Occupancy detection using high temporal resolution water consumption data. 
Description The model detects occupancy on a day by day basis using high temporal resolution, dwelling level water consumption data. The model detects occupancy for each day based on whether the mean water consumption for a day and number of usage events per day are greater than specified thresholds. The thresholds are defined as a percentage of the mean values across all days within the measurement period. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact The model was created in early 2022, so as yet has not made any notable impacts. Intended impacts will include a publication as well as internal use by South West Water, to aid with demand forecasting. 
 
Title Open Source GitHub Code for Local Data Spaces Work 
Description Open-source freely available GitHub Code for all analysis and data cleaning undertaken to produce the 10 reports for each Local Authority in England as part of the Local Data Spaces Project. 
Type Of Material Data analysis technique 
Year Produced 2021 
Provided To Others? Yes  
Impact Impacts not yet generated - however we expect this will help reduce the time-consuming data wrangling and formatting needed by local analysts- allowing them to more quickly use these timely data to inform COVID-19 response. 
URL https://github.com/ESRC-CDRC/LocalDataSpaces
 
Title Open Source Github Code for cleaning text data (in working progress) 
Description The package in development is a comprehensive text cleaning toolkit designed for researchers, data scientists, and analysts working with text data. Its core functionality revolves around preparing raw text for analysis by implementing a suite of cleaning operations. Key features include standardising punctuation formats, stripping unwanted URLs to reduce noise, and expanding contractions for uniformity and clarity, with the flexibility to utilise custom expansion lists tailored to specific needs. 
Type Of Material Data analysis technique 
Year Produced 2024 
Provided To Others? Yes  
Impact The development of this text cleaning package notably improves the quality and accessibility of text data for analysis, boosting productivity and promoting standardisation in data pre-processing workflows. This package not only saves time but also makes sophisticated text analysis more accessible to a wider range of researchers and analysts. While currently focused on a specific set of cleaning tasks, the package is under active development, with plans to introduce additional functionalities. Future updates might include more specialised cleaning functions or the development of an entirely new package to cater to niche pre-processing needs such as those required for speech tagging and topic modelling. 
URL https://github.com/baileyjl/textCleaner
 
Title OpenInfra package 
Description The package is being develop as part of the CDRC internship 2021-2022 (supervisors: R. Lovelace, V. Houlden, E. Manley). It aims to be a go-to space for citizens and policy makers who want to learn about and/or use OpenStreetMap data in transport research. 
Type Of Material Data handling & control 
Year Produced 2021 
Provided To Others? Yes  
Impact The package is open-source and published on GitHub. This contributes to (open) knowledge production by encouraging other to both use and contribute to the development of the package. So far an article published as part of the package has received substantial interest on social media (link: https://twitter.com/robinlovelace/status/1498952906015264769). 
URL https://github.com/udsleeds/openinfra
 
Title Priority Places for Food Index 
Description Location, ranks and deciles for the combined index and its contributory domains across the UK. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Launching in November 2022, the release of this data led to significant interest from the media, retailers, and from local, regional and national government departments. The Office for Health Improvement and Disparities (OHID), specifically in London, Yorkshire and Humber, and the South East, have identified the index as a new way of monitoring and evaluating policy implementation. The Scottish Government have also outlined a series of questions to support further research with the index. Locally, the data has been identified as a means of informing local responses to the National Food Strategy for example by Birmingham City Council and Good Food Oxfordshire. Additionally, the use of the data within Which?'s #AffordableFoodForAll campaign has supported discussions with UK retailers relating to the provision of affordable food. 
URL https://data.cdrc.ac.uk/dataset/priority-places-food-index/resource/priority-places-food-index
 
Title Priority Places for Food Index Version 2 
Description Location, ranks and deciles for the combined index and its contributory domains across the UK. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? Yes  
Impact Please see Narrative of Impact 
URL https://data.cdrc.ac.uk/dataset/priority-places-food-index-version-2/resource/priority-places-food-i...
 
Title Spectus Urban Mobility Aggregated Data 
Description This dataset is an aggregated form of the opt-in individual-level GPS mobility data gathered by Spectus. It covers a period from 2019 to 2022, thereby including pre- and post-lockdown behaviour for comparison. The aggregation conforms to anonymity requirements of Spectus's review board for external sharing, such as aggregating over a daily temporal range instead of specific timestamps, aggregating over LSOAs instead of specific locations, omitting counts under a threshold of 10 individuals, and only providing normalised values instead of absolute counts. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? No  
Impact The aggregated Spectus data is being used by two separate projects in LIDA's Data Science Development Programme. The data will be made available as an open dataset on CDRC's data portal imminently, as soon as the university's Information Governance has confirmed their approval. 
 
Title Strava Metro Activity, Environmental and Socioeconomic Conditions in Bradford 
Description The dataset integrates Strava Metro data, capturing cycling and running activities across age and gender, with key weather variables such as temperature and precipitation (MIDAS) alongside the Index of Multiple Deprivation. 
Type Of Material Database/Collection of data 
Year Produced 2024 
Provided To Others? No  
Impact The dataset enables analysis of weather and socioeconomic factors on active travel in Bradford. It will form the basis of a visual dashboard and will allow more complex analysis through machine learning. Full impacts not realised yet. 
 
Title Temporal visualisation of population's mobilty and consumption changes during COVID 
Description A set of time-series based visualisation approaches (yet to be fully defined) are to be implemented. The aim of this implementation is to carry out data transformations to determine and visualise relevant relationships across variables with the MasterCard and WhenFresh CDRC dataset. The relationships would provide relevant information with regards to UK population consumption behaviour within the house and other market industries during events of interest such as the COVID pandemic. 
Type Of Material Data analysis technique 
Year Produced 2024 
Provided To Others? No  
Impact The WhenFresh dataset contains non-disclosive highly informative data with regards to house attributes as well as information with regards to rental and purchase transactions within the housing industry in the UK. Such information is usually not available publicly, only when a census takes place every 10 years. The MasterCard dataset contains also highly non-disclosive informative data with regards to the transaction volumes carried out across different domains. The joint usage of the MasterCard and WhenFresh dataset aims to provide a clearer view of potential causal correlations between the changes in house prices and rentals, and how these might be related to changes in the consumption behaviour for when specific time frames and locations appear within both datasets. 
 
Title UK Women's Cohort Questionnaire Data 
Description The UK Women's Cohort Study is one of the largest cohort studies investigating associations between diet and cancer in the UK. It was established in 1995 with the aim of investigating links between diet and health. A large cohort of over 35,000 middle aged women has been created encompassing a wide range of different eating patterns, including diets currently of interest to research into protection against cancer and coronary heart disease. Women in the cohort are health conscious with only 11% current smokers and 58% taking dietary supplements. 28% of the subjects self-report being vegetarian and 1% vegan. Participants are regularly followed up to study the effects of different food and nutrient intakes on long-term health outcomes. A cohort profile has been published in the International Journal of Epidemiology: International Journal of Epidemiology, 2015, 1-11 doi: 10.1093/ije/dyv173 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact Used in multiple CDRC-Leeds Data Service projects since 2019, as well as the CDRC Innovation Fund. 
URL https://data.cdrc.ac.uk/dataset/uk-womens-cohort-questionnaire-data
 
Title Urban Transport Modelling for Sustainable Well-Being in Hanoi: Implementing a classification model for opinions on proposed motorbike ban 
Description This model is part of a British Academy project undertaking urban transport modeling in Hà N?i, aimed at creating statistical and spatial models of transport behaviors and attitudes. The model is a Gradient Boosting Machine which classifies whether respondents agree/disagree with a proposed motorbike ban based on socio-demographic attributes, travel behaviours and choices on the perceptions of people using transport. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact The model has revealed interesting insights and patterns that affect people's opinion to the ban such as distance to public transport, ownership of certain types of cars, occupation age and spatial location. This has helped steer more focused Exploratory Data Analysis of such factors, gather more insights and understanding. The results will be shared on an interactive dashboard with policy makers. This will help policy makers understand the process driving different travel behaviors within Hanoi. 
 
Title Urban Transport Modelling for Sustainable Well-Being in Hanoi: New Data Dashboard 
Description This project develops a data dashboard using R Shiny to serve as a communication tool of the survey findings. The dashboard will allow policy makers in Vietnam to interrogate models and data in order to develop an understanding of the trends in the data, and answer research questions, and to thereby make informed decisions. As well as generating summaries of the data, the dashboard will allow policy makers to explore 'what if' scenarios around attitudes towards a proposed motorbike ban in Hà N?i and stated transport preferences. 
Type Of Material Data analysis technique 
Year Produced 2022 
Provided To Others? No  
Impact The dashboard development is still ongoing. 
 
Title Urban Transport Modelling for Sustainable Well-Being in Hanoi: Spatial Interaction Model by Transport mode 
Description This model is part of a British Academy project undertaking urban transport modeling in Hà N?i, aimed at creating statistical and spatial models of transport behaviors and attitudes. This model is a novel approach of extending the existing Spatial Interaction Model to simulate the number of journeys made from an origin to a destination using a given mode of transport. The modes allows the effect of trip cost on the flows to change depending on the means of transport used hence unravelling how the journey costs for each mode could affect its corresponding trips, how flows by transport mode would shift if a ban were introduced, and the effects on the destination areas. 
Type Of Material Computer model/algorithm 
Year Produced 2022 
Provided To Others? No  
Impact This is still a work in progress. It is hoped that this will elucidate new insights and answer policy development questions such as how, where, and when motorbikes should be banned (if at all) and the impacts on existing modes of transport. 
 
Title Using loyalty card data to investigate food purchasing shift to Eatwell Guide 
Description Code written up for analysis investigating whether a particular major food retailer's intervention shifted a specific customer group's food purchasing patterns towards the Eatwell Guide. The code handles transaction and consumer data provided by a Major Food Retailer. The code is subject to Data Sharing Agreement between the Retailer providing the code and LIDA. It is currently in LIDA's secure research platform LASER and is accessible by a small number of people within the team who have been granted access to the virtual research environment. The code cannot be extracted from the VRE without permission from the Retailer. 
Type Of Material Data handling & control 
Year Produced 2022 
Provided To Others? No  
Impact The code is helping determine the success of the Retailer's trial. It is also helping to determine the success of the behavioural lever used in the trial for the specific demographic concerned. It is generalisable and reproducible so "anonymised" version of the code can be used in the context of analysing other trials either by the same or a different retailer if given appropriate clearance. 
 
Title Wejo Connected Vehicle Trajectories 
Description Supplied by Wejo, this dataset contains GPS trajectories for around 50,000 vehicles during the month of July, representing over 1.8 million vehicle journeys and over 400 million individual records. An observation is available every 3 seconds on average during each journey. The data contains a journey identifier, timestamp, longitude and latitude coordinates, as well as additional data fields for vehicle speed and bearing. The data is of high quality, with GPS records for every three seconds on average. This enables the successful implementation of map-matching algorithms as well as the identification of vehicle stops as well as periods of acceleration and deceleration. 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact This is one of the first times such a detailed and in-depth dataset detailing connected vehicle trajectories has been made available for academic research purposes. 
URL https://data.cdrc.ac.uk/dataset/wejo-connected-vehicle-trajectories
 
Title WhenFresh/Zoopla Property Transactions and Rentals 
Description These data relate to property transactions, rentals and associated migration within England and Wales between 2014 and 2021. Transaction data covers over 5M property listings from major England and Wales property portals while rental data covers over 4M listings. The series have been corroborated with land registry sales and Royal Mail re-directions to produce a hindsight data view of: Listings for Sale; Transactions recorded; Move Dates evidenced; Destination postcodes Listings for Rent; Transactions recorded; Rental Dates; Destination postcodes 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact Will be used in a CDRC project on the LIDA Intern Programme 2022-23. Is currently receiving applications through the CDRC Secure Data Service which will lead to project and research outputs. 
URL https://data.cdrc.ac.uk/dataset/whenfreshzoopla-property-transactions-rentals-and-associated-migrati...
 
Title WhenFresh/Zoopla Property Transactions and Rentals (Safeguarded) 
Description These data relate to property transactions and rentals within England and Wales between 2014 and 2021. Transaction data covers over 5M property listings from major England and Wales property portals while rental data covers over 4M listings. The series have been corroborated with land registry sales to produce a hindsight data view of: - Listings for Sale; Transactions recorded; Move Dates evidenced - Listings for Rent; Transactions recorded; Rental Dates 
Type Of Material Database/Collection of data 
Year Produced 2022 
Provided To Others? Yes  
Impact The data is available under the CDRC Safeguarded tier and was created in response to the popularity of the CDRC Secure dataset containing WhenFresh/Zoopla data. It contains a subset of fields from the full secure data and, due to its lower security tier, widens access to researchers at UK universities and beyond. The lower security classification also lowers the cost of research infrastructure required to keep the data secure, thereby ensuring value for money in addition to widening data access. The safeguarded version of the data has resulted in 8 initial expressions of interest in the last 3 months and 4 projects are currently in receipt of the data. 
URL https://data.cdrc.ac.uk/dataset/whenfreshzoopla-property-transactions-and-rentals
 
Title Which? Priority Places for Insulation Index 
Description The Priority Places for Insulation Index (PPII) ranks geographical areas within each nation of the UK across eight different indicators relating to insulation needs. The index is produced by weighting and combining the eight indicators to construct an overall ranking of Priority Places for Insulation within each nation. It has been produced at three levels of geographical: local authorities, parliamentary constituencies and small local areas. A web tool to display, map and graph the results for your local area can be found at https://insulation.which.co.uk/. The index was developed by Which?. It was constructed using open data and web-scraped data from the publicly accessible Energy Performance Certificate (EPC) register for Northern Ireland as well as relevant sites where installers can be found or listed. The index is novel because it incorporates both aspects of housing stock and household circumstances which exacerbate the need for insulation. 
Type Of Material Database/Collection of data 
Year Produced 2023 
Provided To Others? Yes  
Impact The Prioirty Places for Insulation Index was created to build upon the success of the CDRC's Priority Places for Food Index in collaboration with Which?. Which? have shared this data product to be hosted by the CDRC to increase the academic impact and dissemination of their research in response to rising energy bills. 
URL https://data.cdrc.ac.uk/dataset/which-priority-places-insulation-index
 
Title ijgis_data_and_code.zip 
Description This repository contains the code, data and environments required to reproduce certain parts of the paper, "How can object detection be used to understand drivers of consumption space attractiveness?" 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact No known impacts yet. 
URL https://figshare.com/articles/dataset/ijgis_data_and_code_zip/14079842
 
Title system dynamics model for the contribution of new micro level data in capturing transport related health outcomes 
Description A new system dynamics model of transport-health interactions that specifically includes the contribution and influence of new data forms. 
Type Of Material Computer model/algorithm 
Year Produced 2021 
Provided To Others? No  
Impact Too early to say 
 
Description 6 month intern project with project partner Sainsbury's 
Organisation Sainsbury's
Country United Kingdom 
Sector Private 
PI Contribution 6-month internship in partnership with Sainsburys. This involved weekly meetings to progress the internship with regular members including the intern, two supervisors and a representative from Sainsbury's. These meetings guided the course of the internship and ensured that the project goals were being met. These regular meetings also facilitated easy and regular communication outside of the allotted time. In addition to the development of a public tool, additional work relating to reformulation was produced for Sainsbury's use only.
Collaborator Contribution Sainsburys provided nutritional and transaction data. They have also given time by way of our retail representative's contributions to weekly meetings.
Impact The production of two automated dashboards, one for public use and one for internal use only
Start Year 2021
 
Description AirDNA - expanded agreement 
Organisation AirDNA
Country Spain 
Sector Private 
PI Contribution Having initially tested feasibility via developing and agreeing a series of potential applicable research questions, we successfully negotiated a two-year subscription to AirDNA's UK-wide property performance data. This represented a considerable improvement on and update to the data behind our original agreement with AirDNA agreement, which had covered London and Leeds alone and represented activity no later than the end of 2018.
Collaborator Contribution AirDNA's responsibilities under the new agreement chiefly lie in ensuring monthly deliveries of data. As a result of AirDNA's more recent corporate shift to a subscription model, the CDRC also now benefits from a dedicated account manager; ensuring researcher or administrator queries on data quality can be resolved in a timelier manner.
Impact Multi-disciplinary research using this data is ongoing, including (currently) a PhD focusing on how households in England and Wales evaluate the time value of housing. Thematically, research using the data will relate most closely to the themes of population, infrastructure and housing.
Start Year 2022
 
Description Born in Bradford - CDRC Internship 2020/21 (intern Tom Albone) 
Organisation Bradford Institute for Health Research (BIHR)
Department Born in Bradford
Country United Kingdom 
Sector Public 
PI Contribution CDRC Co-I Michelle Morris is supervising intern Tom Albone working on the project Healthy Choices, Healthy Lives in partnership with Bradford Institute for Health Research (Born in Bradford).
Collaborator Contribution BIHR is providing data for the project as well as a framework for community outreach and support.
Impact Blog series on Free School Meals in Dec 2020 and Jan 2021 (URL above) which received significant impact: The first blog receiving in the first 24 hours after release 3756 Impressions, 166 engagements (liked, retweeted, clicked for more info etc), and 112 read the article in full on the website. Case study from Tom will be forthcoming at the end of March 2021.
Start Year 2020
 
Description Bradford Opportunity Area and CAER Intern Projects 2019-20 (Holly Clarke) and 2020-21 (Bradford interns x7) 
Organisation Centre for Applied Education Research
Sector Charity/Non Profit 
PI Contribution CDRC Co-Is Nick Malleson and Alison Heppenstall are co-supervising the project, Modelling the impact of school admission criteria on pupil distribution across the City of Bradford, and intern Holly Clarke. In collaboration with BOA and CAER. CDRC Co-I Michelle Morris is supervising Bradford intern Tom Albone (2020/21) who is looking at the impact of deprivation and inequality in health in the Bradford interns as part of a wider cohort of 7 Bradford-based interns. Former CDRC colleague Ning Lu is facilitating these projects with supervision and data access.
Collaborator Contribution Funding put up by BOA for the 6 month project and Bradford City Council has provided data and work placement for intern Holly Clarke to work on the data at their premises. Ongoing partnership in 2020/21 on the x7 Bradford intern projects which are exploring issues of deprivation, inequality, Covid-impact, mental health impact, and impact on education in the Holme Wood and wider Bradford areas.
Impact 10th Jan 2020 Bradford Opportunity Area workshop; hosted at the Wolfson in Bradford, attended by the interns and Holly gave a presentation on this project to much acclaim. She has also presented to the Dept for Education on her work to similar acclaim.
Start Year 2019
 
Description CDRC User Application 310 - To understand the potential uptake of groceries home delivery and its link to the supply side. (06/03/2019) 
Organisation YouGov
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Processed and managed data access application and review process to CDRC safeguarded YouGov data for project 310 - To understand the potential uptake of groceries home delivery and its link to the supply side. Application currently under review.
Collaborator Contribution Submitted application to CDRC Safeguarded Service for access to YouGov data for project 310 - To understand the potential uptake of groceries home delivery and its link to the supply side. Project proposal form under review.
Impact No outputs as yet.
Start Year 2019
 
Description CDRC User Application 312 - To gain an understanding of the health environment in the neighbourhood of the lettings (11/03/2019) 
Organisation AirDNA
Country Spain 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 312 - To gain an understanding of the health environment in the neighbourhood of the lettings. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC safeguarded service for access to AirDNA data for project 312 - To gain an understanding of the health environment in the neighbourhood of the lettings. Initial application only; full project proposal in progress.
Impact No Outputs as yet.
Start Year 2019
 
Description CDRC User Application 355 - Medium-Long Term Impact of AirBnB on cities 
Organisation London School of Economics and Political Science (University of London)
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh/Zoopla data for project 355. Application approved by CDRC Research Approvals Group. Processed and managed data access application and review process to CDRC safeguarded AirBNB data for project 355 also.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh data for project 355 - Medium-Long Term Impact of AirBnB on cities. Project underway.
Impact Approval of CDRC User Application 355 No outputs as yet.
Start Year 2019
 
Description CDRC User Application 357 - Are vegans and vegetarians healthier than other people? Analysis of the UK Women's Cohort Study 
Organisation University of Leeds
Department School of Food Science and Nutrition Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Safeguarded UKWCS data for project 357 - Are vegans and vegetarians healthier than other people? Analysis of the UK Women's Cohort Study
Collaborator Contribution Submitted application to CDRC safeguarded service for access to UKWCS data for project 357 - Are vegans and vegetarians healthier than other people? Analysis of the UK Women's Cohort Study
Impact No outputs yet
Start Year 2019
 
Description CDRC User Application 373 - Every Digit Counts: Heuristic Thinking and Biased Reference Points 
Organisation University of Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh/ Zoopla data for project 373 - Every Digit Counts: Heuristic Thinking and Biased Reference Points. Application approved by CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for project 373 - Every Digit Counts: Heuristic Thinking and Biased Reference Points. Project underway.
Impact No outputs yet.
Start Year 2019
 
Description CDRC User Application LEEDS003 - Re-Counting Crime: New methods to improve the accuracy of estimates of crime 
Organisation University of Manchester
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Safeguarded Synthetic Population data for project LEEDS003 - Re-Counting Crime: New methods to improve the accuracy of estimates of crime. Application approved by CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Safeguarded Service for access to Synthetic Population data for project LEEDS003 - Re-Counting Crime: New methods to improve the accuracy of estimates of crime. Project underway.
Impact No outputs yet.
Start Year 2020
 
Description CDRC User Application LEEDS005 - Isolation and Inclusion in a Post-Social Distancing COVID World (intern project DS application) 
Organisation Newcastle University
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Safeguarded Synthetic Population data for intern project LEEDS005 - Isolation and Inclusion in a Post-Social Distancing COVID World. Application approved by CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Safeguarded Service for access to Synthetic Population data for project LEEDS005 - Isolation and Inclusion in a Post-Social Distancing COVID World. Project underway.
Impact No outputs yet - case study planned end of March 2021.
Start Year 2020
 
Description CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford, March 2021 - October 2021. Spatial and demographic implications of covid vaccinations in Leeds. CDRC Data Scientist Dustin Foley analysed vaccination rates within the Leeds area and produced a Jupyter Notebook documenting this for reproducibility. This work was helpful in allowing the public health department at LCC to see where take-up of vaccinations was poor and to investigate why.
Collaborator Contribution Data provided by Leeds City Council. Project led by Jeremy Large at Oxford University.
Impact Representatives from Sciteb invited to the CDRC Partner Forum and AI-UK. Sharing data and analytical capability between the city and the university and its constituent research centres remains a priority for pursuit through the Office for Data Analytics.
Start Year 2021
 
Description CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford 
Organisation Sciteb
Country United Kingdom 
Sector Private 
PI Contribution CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford, March 2021 - October 2021. Spatial and demographic implications of covid vaccinations in Leeds. CDRC Data Scientist Dustin Foley analysed vaccination rates within the Leeds area and produced a Jupyter Notebook documenting this for reproducibility. This work was helpful in allowing the public health department at LCC to see where take-up of vaccinations was poor and to investigate why.
Collaborator Contribution Data provided by Leeds City Council. Project led by Jeremy Large at Oxford University.
Impact Representatives from Sciteb invited to the CDRC Partner Forum and AI-UK. Sharing data and analytical capability between the city and the university and its constituent research centres remains a priority for pursuit through the Office for Data Analytics.
Start Year 2021
 
Description CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford, March 2021 - October 2021. Spatial and demographic implications of covid vaccinations in Leeds. CDRC Data Scientist Dustin Foley analysed vaccination rates within the Leeds area and produced a Jupyter Notebook documenting this for reproducibility. This work was helpful in allowing the public health department at LCC to see where take-up of vaccinations was poor and to investigate why.
Collaborator Contribution Data provided by Leeds City Council. Project led by Jeremy Large at Oxford University.
Impact Representatives from Sciteb invited to the CDRC Partner Forum and AI-UK. Sharing data and analytical capability between the city and the university and its constituent research centres remains a priority for pursuit through the Office for Data Analytics.
Start Year 2021
 
Description Can Loneliness be modelled? Data Scientist Development Programme in collaboration with Bradford Institute for Health Research and Connected Yorkshire 
Organisation Bradford Institute for Health Research (BIHR)
Department Born in Bradford
Country United Kingdom 
Sector Public 
PI Contribution The Consumer Data Research Centre has contributed to this research project with funding to cover the cost of the data scientist and their training for six months, which is the duration of the research.
Collaborator Contribution The partner will be contributing data as per the academics requests for this research to take place, and also providing optional working space within their premises for the data scientist for the duration of the research, should they decide to use it.
Impact This is an interdisciplinary project: Disciplines: 1: Consumer Psychology; Psychological threats; Restrictions; Digital communications 2: Agent-based modelling; Decision making in complex systems; AI and multi-agent systems; Urban analytics; Housing markets
Start Year 2023
 
Description Carbon Calculator and Leeds City Council 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution CDRC have worked directly with Leeds City Council Climate, Energy & Green Spaces Communities, Housing & Environment team to develop a carbon footprint calculator for food procured by Leeds City Council. It was designed to provide the Council with a baseline for their emissions before embarking upon their road to Net Zero by 2030.
Collaborator Contribution Leeds City Council provided time and expertise on the project, as well as school meals data that allowed us to build a carbon calculator suitable to their needs, data, and format.
Impact Creation of carbon footprint of food calculator (see data products). Creation of Planet Plates game (see data products). Awards and recognition from the University of Leeds Engaged for Impact prize. Impact includes: project within Leeds City Council using carbon labelling on food products; further project looking at carbon footprint of foods in Kirkgate Market (see further funding section).
Start Year 2021
 
Description Co-operative Food partnership on climate change and disrupted supply chains 
Organisation The Co-operative Group Ltd
Country United Kingdom 
Sector Private 
PI Contribution Went through a selection process including an interview to be selected research partner for UKRI Healthier food, healthier planet: transforming food systems programme.
Collaborator Contribution Supported successful funding application UKRI Healthy soil, Healthy food, Healthy people (H3)
Impact Funded grant UKRI Healthy soil, Healthy food, Healthy people (H3)
Start Year 2020
 
Description Collaboration with Arup on agent-based modelling 
Organisation Arup Group
Country United Kingdom 
Sector Private 
PI Contribution Collaboration around the development of agent-based models of mobility.
Collaborator Contribution Provision of expertise and tools to help development of MATSim modelling.
Impact Development of an agent-based transportation model of the north of England
Start Year 2021
 
Description Collaboration with CDRC researchers to analyse UK Biobank physical activity data 
Organisation Consumer Data Research Centre (CDRC)
Country United Kingdom 
Sector Academic/University 
PI Contribution Partnered with fellow CDRC researchers to provide expertise in the analysis of large-scale physical activity behaviour patterns using unsupervised machine learning methods.
Collaborator Contribution Research expertise, analysis and writing provided by other team members.
Impact Research article: https://doi.org/10.3390/s21248220
Start Year 2021
 
Description Collaboration with DEFRA on Modelling Agri-Environmental Scheme (AES) uptake 
Organisation Department For Environment, Food And Rural Affairs (DEFRA)
Country United Kingdom 
Sector Public 
PI Contribution We supervise and lead an intern project to look at the modelling Agri-Environmental Scheme (AES) uptake.
Collaborator Contribution Members of DEFRA co-supervise the intern and provide access to secure data.
Impact A report is published and shared with DEFRA department and stakeholders.
Start Year 2022
 
Description Collaboration with Department for Environment, Farming, and Rural Affairs (Defra) 
Organisation Department For Environment, Food And Rural Affairs (DEFRA)
Country United Kingdom 
Sector Public 
PI Contribution Working with Defra to look at uptake of Agri-Environmental Schemes (AES). I have worked to produce statistical analyses examining how various factors, including geospatial and social, influence the uptake of AES. THis will be used to inform policy makers.
Collaborator Contribution Provision of data and knowledge of current and upcoming AES schemes.
Impact Presentation to Project Partner LIDA Seminar Series Presentation/Webinar to Defra
Start Year 2021
 
Description Collaboration with Office for National Statistics Methodology Division 
Organisation Office for National Statistics
Country United Kingdom 
Sector Private 
PI Contribution Various ONS departments are interested in novel data sources which could support the production of small-area population statistics. As part of methodological decisions around future censuses, ONS have a number of active projects seeking to assess the feasibility of administrative and commercial data sources in capturing population and household statistics. Andy Newing (School of Geography), Jacob Van Alwon and Owen Hibbert (both LIDA DSDP) have explored the potential of dwelling-level water metering data to: 1. Assess the quality of dwelling-level water metering data supplied by an external data provider (a UK water supplier) and develop processes for data clearning and leak detection. 2. Assess the ethical and privacy concerns associated with working with these data at the dwelling and aggregate level and identify the appropriate temporal resolution for analysis. 3. Develop methodoloical approaches to determine characteristics of dwelling occupancy from these data - specifically to identify periods when a given dwelling is occupied/vacant. 4. Consider the extent to which these approaches could be used to classify properties according to their occupancy status and therefore to identify unoccupied properties, or those that may be associated with tourism. 5. To report on the potential future value of these data as a tool to capture small area tourism statistics and indicators of neighbourhood type/change.
Collaborator Contribution Alongside the project team, ONS co-organised a Methodological Workshop to bring the project team together with a range of stakeholders within ONS, representing different teams/business functions. The workshop enabled detailed dialogue between the project team and methodological/domain experts at ONS, enabling us to: - Optimise some data cleaning processes based on ONS expertise and experience - Understand ONS' specific interests within this work and to adapt approach/outputs accordingly, thus maximising impact - Enter into ongoing dialogue with specific teams to further shape this and follow on work. Four further follow up meetings have taken place with specific individuals/teams and a publication (outlined below) has resulted from this work.
Impact https://eprints.whiterose.ac.uk/189680/
Start Year 2021
 
Description Collaboration with Office of National Statistics Data Science Campus 
Organisation Office for National Statistics
Country United Kingdom 
Sector Private 
PI Contribution This agreement is only in its early stages, but areas of collaboration discussed have related to agent-based modelling and data analytics within the context of urban mobility. A Memorandum of Understanding was signed between the ONS and the University to support this work in March 2022.
Collaborator Contribution None to date.
Impact None.
Start Year 2022
 
Description Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) 
Organisation CycleStreets
Sector Charity/Non Profit 
PI Contribution The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects.
Collaborator Contribution The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects.
Impact No outputs yet.
Start Year 2022
 
Description Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) 
Organisation Department of Transport
Country United Kingdom 
Sector Public 
PI Contribution The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects.
Collaborator Contribution The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects.
Impact No outputs yet.
Start Year 2022
 
Description Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) 
Organisation Ordnance Survey
Country United Kingdom 
Sector Public 
PI Contribution The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects.
Collaborator Contribution The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects.
Impact No outputs yet.
Start Year 2022
 
Description Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) 
Organisation University of Leeds
Department Centre for Disability Studies
Country United Kingdom 
Sector Academic/University 
PI Contribution The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects.
Collaborator Contribution The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects.
Impact No outputs yet.
Start Year 2022
 
Description Communication with FoodDB at Oxford University 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution 2 meetings with FoodDB discussing how to calculate Fruit, Veg and Nut content from back of pack ingredients, a crucial component of a 6 month LIDA internship project.
Collaborator Contribution 2 meetings with FoodDB discussing how to calculate Fruit, Veg and Nut content from back of pack ingredients, a crucial component of a 6 month LIDA internship project.
Impact Improved calculation of Fruit, Veg and Nut content from back of pack ingredients.
Start Year 2021
 
Description Communication with not-for-profit GS1 UK 
Organisation GS1 UK
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Facilitated by a 6-month LIDA intern project, we have started a communication with the not-for-profit GS1. Regular participants at meetings include 2 GS1 members, LIDA intern and 2 project supervisors. We have been able to demonstrate a tool developed as part of the internship project and why we believe it is necessary.
Collaborator Contribution GS1 has displayed a positive and encouraging role in the development of our public tool. They have been engaged and open to discussion about how to help promote this tool.
Impact We have been able to take general retailer feelings regarding upcoming legislation to GS1, who have realised they needed to do more to support their customers. Discussions are ongoing regarding, e.g., how to make this relationship more formal, whether GS1 can help with any endorsement of the tool, whether we can set up a relationship that involves division of data.
Start Year 2021
 
Description Compass - new Data-Sharing Agreement 
Organisation Compass
Country Brazil 
Sector Private 
PI Contribution During the 2023 calendar year we completed negotiations with a connected vehicles provider, Compass, and signed a data-sharing agreement. We are contributing to continuing discussions with the partner on a joint communications approach that will promote example use cases more widely.
Collaborator Contribution The dataset provided by the partner covers the month of October 2023 and includes both trajectory and sensor-level information for vehicles across 14 UK urban areas, including the West Midlands and West Yorkshire Combined Authority areas, Greater London, Greater Manchester, Edinburgh, Glasgow, Belfast, and Cardiff. The data has been provided to the CDRC free-of-charge
Impact The partnership to date has resulted in a new deposit of proprietary data in the CDRC data store (in the Safeguarded tier).
Start Year 2023
 
Description Connected Places Catapult - Business Fellowship Scheme 
Organisation Transport Systems Catapult
Country United Kingdom 
Sector Private 
PI Contribution Paul Evans was appointed Business Fellow at the Transport Systems Catapult which is now named the Connected Places Catapult from January 2019
Collaborator Contribution Enhancing knowledge of the CDRC throughout the academic network and within mobility / transport related companies. CDRC related projects started as a result of the partnership. Opportunities to influence policy
Impact Connected Places Catapult / University of Leeds discovery day ONS Energy Data Visibility Discovery funding application ABM / Smart sensor project with CPC
Start Year 2019
 
Description Connected Places Catapult - smart city & mobility integration 
Organisation Transport Systems Catapult
Country United Kingdom 
Sector Private 
PI Contribution Through collaborative workshops we explore opportunities to further develop and apply our model - along with other urban analytics, transport modelling and simulation opportunities in the smart cities and smart mobility field.
Collaborator Contribution The catapault helped us to further understand stakeholders' needs for a service with the likes of Synergy PRIME. Questions were focusing around these topics: • Future trends in technology and mobility, including perceived strength and limitations; • Capability of existing models to represent these emerging and disruptive technologies and services. This informed development of the model and the direction of future projects.
Impact Workshop reports were circulated to all stakeholders.
Start Year 2019
 
Description Contribution to training network convened by the National Centre for Research Methods (NCRM) 
Organisation University of Southampton
Department ESRC National Centre for Research Methods
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution As part of a quarterly meeting of lead training contacts at data centres and investments from across the UK (known as the Data Resources Training Network), initiated by the NCRM in February 2021, the CDRC Centre Manager was invited to present on the research team's recent experience applying for accreditation of its data science short course training offer by CPD UK. Via the Centre Manager, the team continues to engage with this forum, and plans are in train for contributions to organisation of a webinar on social deprivation as a research theme.
Collaborator Contribution The NCRM provide secretariat support for each of the meetings of the Data Resources Training Network (DRTN).
Impact No research outputs applicable.
Start Year 2022
 
Description CosmoNorth - SPENSER coupled with an Agent Based Model 
Organisation Arup Group
Country United Kingdom 
Sector Private 
PI Contribution The CoSMoNorth (Comprehensive Spatial Modelling for the North) project aims to build and calibrate an agent-based simulation (or 'digital twin') of mobility and activity of the Northern Powerhouse region, linking 11 Local Enterprise Partnership areas, including the cities of Hull, Manchester, Liverpool, Leeds, Sheffield and Newcastle. The project furthermore aims to explore and implement a broad suite of social impact appraisal measures, for assessing the impacts of infrastructure changes. SPENSER synthetic data have been coupled with the Agent Based model in the simulation.
Collaborator Contribution The simulation will be built in the MATSim framework, an established tool for the agent-based modelling of transportation systems. As it is a complex software package, and a significant barrier to entry, the project will benefit greatly from the expertise of the City Modelling Lab team at Arup.
Impact Model is currently in development.
Start Year 2021
 
Description Cuebiq - CDRC Internship 2020/21 (Interns Stuart Ross and George Breckenridge) 
Organisation Cuebiq
Country United States 
Sector Private 
PI Contribution This partnership is governed by CDRC Data Sharing Agreements on the LIDA Intern Programme for Cuebiq mobile phone data which is being used to track responses to Covid restrictions in the UK. CDRC Business Support facilitated the contract and DSA for this intern project, and CDRC Co-Director Ed Manley is the project PI who has been leading the project team (and providing mentorship and supervision to) CDRC interns Stuart Ross and George Breckenridge, with support provided by CDRC affiliates at UCL.
Collaborator Contribution Cuebiq have shared the data and their data infrastructure with the project team.
Impact One blog post published in January on the CDRC website (URL above) which explored mobility responses to the Government change to policy over Christmas travel and mixing 2020. Case studies expected from the interns at the end of March 2020.
Start Year 2020
 
Description Cuebiq data sharing agreement 
Organisation Cuebiq
Country United States 
Sector Private 
PI Contribution managed the signing of a data sharing agreement
Collaborator Contribution Provided anonymised location data
Impact https://www.cdrc.ac.uk/covid-for-christmas-analysing-patterns-of-christmas-mobility-in-the-uk/
Start Year 2020
 
Description DSDP project on Early Help Analytics - Michael Baidu with Leeds City Council 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution As part of the Government Data Accelerator Fund, for linking data to support trauma-informed practice and tackling adversity, Leeds City Council and the Leeds Institute of Data Analytics (LIDA) embarks on this 6-month project. The project is expected to identify factors correlated with lower levels of children's engagement in education and lower levels of return to school after the COVID lockdowns. It is anticipated that the research will provide insights for policy makers about which sub-groups of the population (e.g. by socio-economic group; geographical area; age) could potentially benefit from supportive interventions to address the ACEs that are associated with absence from school.
Collaborator Contribution Funding, data and expertise.
Impact Research findings shared with LCC with potential for policy impact; an impact case study written by the project data scientist Michael Baidu.
Start Year 2022
 
Description DSDP: Approved Intent to Collaborate: Electronic/Online Word of Mouth (EWOM) DSDP in Collaboration with Morrisons 
Organisation Morrison Supermarkets plc
Country United Kingdom 
Sector Private 
PI Contribution Via the Data Scientist Development Programme (DSDP), the aim of the research is to investigate how resource scarcity influences grocery consumers' EWOM (Electronic/Online Word of Mouth) and how the effects of resource scarcity evolve over time. The research is investigating how comsumers react to resource scarcity via online word of mouth (twitter). Generally speaking, consumers EWOM swings between scarcity-reduction response (e.g., asking for a cheaper product option) and control-restoration response (e.g., showing more lenience towards vulnerable others, or consuming high-calorie food) over time.  The academics will develop a programming function that the business partner can use to monitor the sentiment of consumers' EWOM on Twitter. Monitoring sentiment of consumers' EWOM on Twitter is important for businesses, as twitter sentiment is strongly associated with stock returns. They will also provide insights into dynamic change of consumers' response to resource scarcity, which helps the business partner to anticipate consumers' needs under scarcity and get prepared to meet consumers' needs.
Collaborator Contribution Besides the data that we can collect, we also welcome partner/collaborator to provide matching datasets covering: 1. Data containing store geolocation and in-store foodbank donations at each location. This dataset can be used to study consumers' pro-social behavior (a type of control-restoration response) under scarcity. 2. Weekly cost of baskets and similar data that show the weekly change of product price, for example, weekly change of food price. This data can possibly work together with Twitter data to provide insights into customers' sentiment under scarcity.
Impact Outputs from this research project include: 1. 4*/3* academic journal publications. 2. Conference paper and conference presentations at major conferences in marketing and data science. 3. A report of data-analysis results and implication to the businesses partner. The data scientist will lead the writing of this report. 4. A monitoring system (this might be a series of R programmes) on consumer sentiment, useful for businesses and policymakers to monitor consumer concern and wellbeing. We expect to have these research impact activities: - A network activity (a seminar, for example) with the business partner, policymakers and charities to disseminate the research findings and discuss the implication that helps the community mitigate the cost-of-living crisis.
Start Year 2023
 
Description DSDP: Approved Intent to Collaborate: Perceptions of COVID Safety Measures in Guest Reviews from AirDNA Data 
Organisation AirDNA
Country Spain 
Sector Private 
PI Contribution The landscape of the hospitality and tourism sectors changed drastically throughout the COVID-19 pandemic. As lockdowns were lifted, accommodation hosts contended with continuously evolving health and safety guidance. For Airbnb properties in particular, often hosted by non-professionals, guests couldn't expect consistency for thoroughness of compliance. Using AirDNA data previously acquired by CDRC, this work will examine Airbnb hosts' ability to meet guests' health expectations, based on perceptions derived from reviews. In contrast with publicly available Inside Airbnb data, the AirDNA data includes actual booking dates and revenue. Unsupervised segmentation of hosts and properties into categories will be performed, using features including hosts' status, time on platform, response metrics, revenue, listing type, booking cost, and maximum guests. Concurrently, reviews concerned with COVID-19 and topics around cleanliness will be identified, using fuzzy text matching or topic modelling. Sentiment analysis on this review subset will assess the performance of hosts/properties. Relationships between these sentiments and the host and property segmentation will be analysed. The data scientist can achieve quick wins with summary statistics for this recently acquired data, particularly regarding guest-written reviews of properties. They will get the opportunity to learn and apply knowledge of unsupervised classification methods and natural language processing techniques.
Collaborator Contribution This projects uses already paid for AirDNA data, so we don't expect them to contribute further data per se. Our expectation is that if the DSDP participant ecounters any issues with the data, then a knowledgeable point of contact at AirDNA could potentially answer their questions more quickly and directly than a project supervisor could. Also, our plan is to check in with them monthly to present our progress, which provides the project with informal goalposts, and is an opportunity for AirDNA to potentially guide the course of the project if they have any insights to share. For example, if an intriguing pattern has emerged in the data, AirDNA could potentially identify it as an artefact of data collection that should be ignored, or alternatively confirm that it's of great interest to them.
Impact The academics would expect to produce an academic paper, a derived dataset composed of categorisations of hosts/properties, and potentially a map or visualisation tool that shows geographic spread of types of properties (including properties that fared well/poorly against expectations of COVID-related health safeguards).
Start Year 2023
 
Description Emergent Alliance - Mark Birkin 
Organisation Elder Research
Country United States 
Sector Private 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Emergent Alliance - Mark Birkin 
Organisation Google
Department Google UK
Country United Kingdom 
Sector Private 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Emergent Alliance - Mark Birkin 
Organisation IBM
Department IBM UK Ltd
Country United Kingdom 
Sector Private 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Emergent Alliance - Mark Birkin 
Organisation Iotics
Country United Kingdom 
Sector Private 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Emergent Alliance - Mark Birkin 
Organisation Open Data Institute
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Emergent Alliance - Mark Birkin 
Organisation Rolls Royce Group Plc
Country United Kingdom 
Sector Private 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Emergent Alliance - Mark Birkin 
Organisation Whitespace
Country United Kingdom 
Sector Private 
PI Contribution University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business.
Collaborator Contribution Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media.
Impact To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed).
Start Year 2020
 
Description Evaluating strategies to promote healthier and more sustainable dietary choices (LIDA Data Scientist Development Programme Project) 
Organisation Institute of Grocery Distribution
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution I am the data scientist in training and main analyst for this project.
Collaborator Contribution Institute of Grocery Distribution - funders of the project Major food retailer - Provision of loyalty card, transaction, and aggregated data (retailer cannot be identified publicly yet, awaiting sign off)
Impact The collaboration is multidisciplinary. The disciplines involved include Data Science, Nutrition & Lifestyle Analytics, Sustainability. Outputs: LIDA Seminar Series (27 Jan 2022), CDRC 2022 Conference (Health & Wellbeing Stream), code for data pre-processing/handling, research update presentations for partners
Start Year 2021
 
Description Evaluation of Granular Consumption Data for the Non-Household Water Market to Support Market Efficiency, Efficient Water Use and Leakage Reduction 
Organisation Yorkshire Water
Country United Kingdom 
Sector Private 
PI Contribution Analysis of partner data - findings discussed within project report. Development of consumption benchmarks by industry divisions and groups. Expertise and intellectual input. Provision of progress update reports for immediate project partners.
Collaborator Contribution Facilitated Data Sharing Agreement (MOSL). Provision of monthly consumption data for construction of benchmarks.
Impact Construction of descriptive consumption benchmarks by industry classification at the division and group level.
Start Year 2021
 
Description Exploring machine learning approaches for uncovering spatial and temporal patterns in large data sets - The Alan Turing Institute - Kevin Minors intern project (April-Sept 2019) 
Organisation Alan Turing Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution CDRC Co-I Alison Heppenstall supervised Kevin Minors on the project, Exploring machine learning approaches for uncovering spatial and temporal patterns in large data sets, in partnership with CDRC and The Alan Turing Institute.
Collaborator Contribution Use of facilities, sharing of expertise and Turing Urban Analytics network.
Impact Intern Kevin Minors was successful in applying to be a data scientist with the Oakland Group in Leeds as a result of his internship.
Start Year 2019
 
Description Exploring machine learning approaches for uncovering spatial and temporal patterns in large data sets - The Alan Turing Institute - Kevin Minors intern project (April-Sept 2019) 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution CDRC Co-I Alison Heppenstall supervised Kevin Minors on the project, Exploring machine learning approaches for uncovering spatial and temporal patterns in large data sets, in partnership with CDRC and The Alan Turing Institute.
Collaborator Contribution Use of facilities, sharing of expertise and Turing Urban Analytics network.
Impact Intern Kevin Minors was successful in applying to be a data scientist with the Oakland Group in Leeds as a result of his internship.
Start Year 2019
 
Description Generating a New Synthetic Population to Quantify Contemporary Urban Mobility - Telefonica - Ivana Kocanova intern project 
Organisation O2 Telefonica Europe plc
Country United Kingdom 
Sector Private 
PI Contribution CDRC Co-Is Nik Lomax and Nick Malleson supervised intern Ivana Kocanova on the project, Generating a New Synthetic Population to Quantify Contemporary Urban Mobility.
Collaborator Contribution Telefonica shared data for the project.
Impact Intern Ivana Kocanova presented project findings at the LIDA Showcase in Sept 2019.
Start Year 2019
 
Description How and why do General Practice registers and ONS population estimates for Leeds differ? - Leeds Health and Care Hub - Rizwana Uddin intern project 
Organisation Leeds City Council
Department Public Health
Country United Kingdom 
Sector Public 
PI Contribution CDRC Co-Is Nik Lomax and Nick Hood supervised intern Rizwana Uddin on the project, How and why do General Practice registers and ONS population estimates for Leeds differ?
Collaborator Contribution Leeds City Council Health and Care Hub shared data for the project.
Impact Intern Rizwana Uddin presented findings from the project at the Sept 2019 LIDA Showcase event.
Start Year 2019
 
Description IGD Health and Sustainability Diets Project 
Organisation Institute of Grocery Distribution
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Gained funding from IGD for project potentially for 5 years for interventions at UK supermarkets on Health and Sustainability Diets of consumers
Collaborator Contribution Funded project and brought together UK supermarkets and research design
Impact Funded project starting 2021
Start Year 2020
 
Description ISEAL Alliance partnership on climate change and disrupted supply chains 
Organisation Iseal Alliance
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Went through a selection process including an interview to be selected research partner for UKRI Healthier food, healthier planet: transforming food systems programme.
Collaborator Contribution Supported successful funding application Healthy soil, Healthy food, Healthy people (H3)
Impact Successful UKRI Healthy soil, Healthy food, Healthy people (H3) grant award
Start Year 2020
 
Description Improbable - Mark Birkin 
Organisation Improbable
Country United Kingdom 
Sector Private 
PI Contribution We reached out to Improbable to provide advanced expertise in software design and coding as an external partner to the RAMP consortium, with academic leadership and strategic direction to this partnership being provided by University of Leeds.
Collaborator Contribution Improbable have contributed two software engineers to work as members of the Urban Analytics team. They have developed an implementation of the REMUS simulator in OpenCL with a speed-up of 10,000x the base implementation facilitating advanced calibration and scenario optimisation.
Impact Improbable have contributed to papers (Rory Greig, Charlie Shenton - see RAMP entry); their OpenCL code appears in the RAMP github; and have blogged about the project - https://www.improbable.io/blog/improbable-synthetic-environment-technology-accelerates-uk-pandemic-modelling. Currently planning a joint workshop between Improbable and University of Leeds to co-design a new generation of simulation tools for scenario planning and resilience to support urban policy.
Start Year 2020
 
Description Institute for Grocery Distribution (IGD) 
Organisation Institute of Grocery Distribution
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Signing an agreement with IGD to carry out research in the healthy and sustainable lifestyles area
Collaborator Contribution financial and expertise in the area
Impact to come in 2021
Start Year 2020
 
Description Joint working with the Global Food and Environment Institute (GFEI) 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution A speculative approach by the Centre for AI & Climate has led to a more focused, co-ordinated joint effort between the CDRC at Leeds and the University of Leeds' Global Food and Environment Institute to more proactively align shared research objectives in relation to the food system, covering thematic interests in common spanning production, processing, distribution and consumption. An initial workshop has taken place, and an application has been made on behalf of senior academic interested parties to internal University of Leeds policy engagement funding with a view to supporting a public stakeholder-facing consultation event, for which plans were already in train (as at January 2023).
Collaborator Contribution Direct contributions from interested partners will be invited at an event scheduled to take place in May 2023.
Impact While outputs are still in development, the overarching objective is a planned phase of policy engagement resulting in a joint and aligned policy brief. The intention is that this will ultimately be in the service of a more cohesive food system offer on behalf of the University of Leeds which can be tailored to stakeholders locally, regionally and nationally.
Start Year 2022
 
Description LIDA & IGD collaboration 
Organisation Institute of Grocery Distribution
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution The team will evaluate interventions run by a number of different retailers and manufacturers in line with the IGD healthy and Sustainable diets programme.
Collaborator Contribution Funding and oversight of the group of retailers and manufacturers.
Impact This project has just started and outputs are forthcoming.
Start Year 2021
 
Description Leeds City Council Data Science Development Project - Harnessing 2021 Census 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution The CDRC worked directly with the Leeds City Council Policy Team to co-supervise a six-month Data Science Development Project. The project resulted in the development of an online dashboard to display Leeds 2021 census data (see data products), hosted on the Leeds Observatory.
Collaborator Contribution The Leeds City Council Policy team provided expertise, desk-space and a laptop for the Data Scientist for the duration of the project.
Impact Leeds 2021 Census Dashboard (hosted on Leeds Observatory - https://observatory.leeds.gov.uk/home/census-2021/); CDRC case study blog post; this project strengthened the ongoing collaborative partnership with LCC. "The Census is a vital tool in helping us to better understand our city and the people who live and work here. The depth of insight at the touch of a button this project has enabled us to access will change the game in supporting more people to access meaningful data in a user-friendly way. In addition, the results from the project will assist us through informing strategic conversations with councillors, helping to guide our work on equality diversity and inclusion, and generating further lines of enquiry more quickly than we've been able to previously." Mike Eakins - Head of Policy, Leeds City Council
Start Year 2023
 
Description Leeds City Council Intern Project (Natalie Nelissen): Data Science for Low-Carbon Cities (2019/20) 12 months 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution CDRC Co-Is Nick Malleson and Alison Heppenstall co-supervised intern Natalie Nelissen on the project, Data Science for Low-Carbon Cities.
Collaborator Contribution Data sharing from Leeds City Council and sharing of expertise. Also fed into project briefing for project proposal.
Impact Model on retrofitting the Leeds social housing stock now in use by Leeds City Council. Case study by the intern on the LIDA website.
Start Year 2019
 
Description Leeds teaching Hospital NHS Trust (LTHT) 
Organisation Leeds Teaching Hospitals NHS Trust
Country United Kingdom 
Sector Public 
PI Contribution My research team has used the data set and other resources to answer the research questions regarding the the geodemographic analysis of the impact of Covid19 on urgent cancer referrals. We have produced a technical report detailing this finding. This technical report will also be translated in an academic journal for publication.
Collaborator Contribution The Leeds teaching Hospital NHS Trust (LTHT) provided the research team with patient level de-identified clinical dataset. The data set contains urgent cancer referrals to Leeds between January 2016 to December 2021. LTHT also gave access to the Trusted Research Environment on the Google Cloud Platform via the Yorkshire and Humber Care Record, where the research was carried out.
Impact Seminar presentation to an audience of more than 100 persons. Technical report. Academic paper (Potentially).
Start Year 2021
 
Description Livestock, Environment & People (LEAP) Partnership Intern Project (Patrycja Delong) 2019/20 
Organisation University of Oxford
Country United Kingdom 
Sector Academic/University 
PI Contribution CDRC Co-Is Michelle Morris and Stephen Clark are supervising intern Patrycja Delong in partnership with LEAP colleagues at the University of Oxford. Also providing the secure infrastructure for the data analysis.
Collaborator Contribution Funding for the project (6 months) as well as data from the retail partner and expertise on the data analysis.
Impact No outputs yet. Intern Delong took part in the LIDA insight workshop with the LEAP retail partner and feedback about the project was positive.
Start Year 2019
 
Description Mastercard - new Data-Sharing Agreement 
Organisation Mastercard UK
Country United Kingdom 
Sector Public 
PI Contribution In addition to the negotiations around the new data licence agreement itself, we are participating in monthly meetings with the partner in order to build the long-term relationship. On delivery of the data we also facilitated a training session for academic co-investigators who had expressed interest in carrying out analytical projects using it in the future.
Collaborator Contribution A new deposit in the CDRC data store (Safeguarded tier).
Impact The dataset provided and deposited is composed of anonymised and aggregated data sourced from card transactions. It provides insight into the relative growth of 14 different retail industries since January 2020. Six different measures of growth are provided: total spend, number of transactions, number of cards used, average spend per transaction, average transactions per card, and average spend per card.
Start Year 2023
 
Description Open Data Science for Schools Outreach Project 2022-23 - Morrisons 
Organisation Morrison Supermarkets plc
Country United Kingdom 
Sector Private 
PI Contribution CDRC-Leeds is leading the Open Data Science for Schools outreach project 2022-23, which is working with the Keighley Schools Together network in Bradford to widen participation from low income and protected characteristics years 8 & 9 students by inspiring them with data science careers, with the aim of encouraging them to stay in STEM education through GCSE into A Level. An outreach event is planned for May 2023, devised and delivered by CDRC data scientists, in partnership with Morrison's. CDRC is providing the structure, infrastructure, leadership, co-ordination and contacts as well as the data products for the outreach.
Collaborator Contribution Morrison's is partnering with us in this outreach by contributing time and expertise for the co-design of the outreach workshop on data and the food environment.
Impact Plans for future related activity.
Start Year 2022
 
Description Open Data Science for Schools Outreach Project Partner 2022-23 - CAER 
Organisation Centre for Applied Education Research
Sector Charity/Non Profit 
PI Contribution Open Data Science for Schools, which is working with the Keighley Schools Together network in Bradford to widen participation from low income and protected characteristics years 8 & 9 students by inspiring them with data science careers, with the aim of encouraging them to stay in STEM education through GCSE into A Level. An outreach event is planned for May 2023, devised and delivered by CDRC data scientists, in partnership with Raspberry Pi's Code Club and local stakeholders such as Bradford City Council's Alliance for Life Chances.
Collaborator Contribution CAER's Digital Makers Programme is supporting with the embedding of the Open Data Science for Schools project as an annual initiative to engage, inspire and widen participation in Bradford schools. Expertise, time and co-design as well as networking.
Impact No outcomes yet.
Start Year 2022
 
Description Open Data Science for Schools with Bradford City Council 
Organisation Bradford Metropolitan District Council
Country United Kingdom 
Sector Public 
PI Contribution CDRC's Kylie Norman is leading a digital skills outreach project with Schools in the local Keighley area to tackle the digital skills gap at earlier educational stages, to try to encourage students to consider STEM GCSE options and teach them about coding. Bradford City Council's Alliance for Life Chances has facilitated this work. Expertise from within CDRC research and professional services teams is helping the council to identify areas of greatest need and to better understand the intersectional challenge factors in and around Keighley, in particular food insecurity.
Collaborator Contribution Alliance for Life Chances has established a convening partnership of local Keighley community stakeholders, including schools, food banks, welfare and early help officers, dentists and other healthcare providers and local business and University researchers all invested in understanding the inequalities that beset Keighley and producing joined-up solutions to these.
Impact Further funding for Open Data Science for Schools (see further funding section). Partnership and outreach work reported in the 2023 Child of the North Parliamentary report. Two community engagement events (Nov 2023, Feb 2024) A call to action document detailing the partnership's approach to tackling the intersectional inequalities in Keighley.
Start Year 2023
 
Description Open Data Science for Schools with Raspberry Pi's Code Club 
Organisation Raspberry Pi Foundation
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution CDRC's Kylie Norman led a digital skills outreach activity with Schools (Open Data Science for Schools) in the local Keighley area to tackle the digital skills gap at earlier educational stages, to try to encourage students to consider STEM GCSE options and teach them about coding. Raspberry Pi's code club officers worked with the team of data scientists producing Scratch coding activities for one of these outreach events and offered human resource on the day of event delivery, May 2023.
Collaborator Contribution Facilitation, project management, partnership management with Keighley Schools Together, funding from University Research Culture award for initial Code Club resources at Carlton Keighley secondary school.
Impact x2 digital skills outreach events co-produced with Keighley Schools Together and Code Club colleagues, 2023. Registered Raspberry Pi code club established at Keighley Academy, Carlton Keighley, resourced by Open Data Science for Schools and led by IT staff at Carlton Keighley. Further funding (see further funding section). Partnership and outreach work reported in the 2023 Child of the North Parliamentary report. Plans for similar work 2024.
Start Year 2023
 
Description Partnership with Cuebiq 
Organisation Cuebiq
Country United States 
Sector Private 
PI Contribution Testing and feedback on data service platform.
Collaborator Contribution Provision of access to data for mobility analyses, as well as expertise on methods underlying data.
Impact Ross, S., Breckenridge, G., Zhuang, M. and Manley, E., 2021. Household visitation during the COVID-19 pandemic. Scientific reports, 11(1), pp.1-11.
Start Year 2020
 
Description Partnership with Leeds City Council Public Health Team 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution Liaising with Leeds City Council (LCC) to identify the magnitude and reasons for discrepancies between ONS population estimates and LCC data sets (GP registrations). Presentation of findings to LCC and delivery of a final report.
Collaborator Contribution Regular meet ups. Delivery of GP registration data. Contributing intelligence to the research process.
Impact Delivery of a research report to Leeds City Council.
Start Year 2019
 
Description PhD Studensthip (CDT) - Improving customers' service of a transit bus system with the help of machine learning and artificial intelligence 
Organisation First Group
Country United Kingdom 
Sector Private 
PI Contribution Developed a PhD project to undertake within the Centre for Doctoral Training for Data Analytics and Society
Collaborator Contribution Provided data and staff time to support the PhD student through the project and internship.
Impact No impacts yet
Start Year 2019
 
Description PhD Studentship (CDT) - Mathematical and Computational Modelling of World Data - UN and World Bank 
Organisation United Nations (UN)
Country United States 
Sector Public 
PI Contribution Developed a PhD project to undertake within the Centre for Doctoral Training for Data Analytics and Society.
Collaborator Contribution Provided data and staff time to support the PhD student through the project and internship
Impact No impacts yet
Start Year 2019
 
Description PhD Studentship (CDT) - Whole systems approach to obesity 
Organisation MoreLife
Country United Kingdom 
Sector Private 
PI Contribution Developed a PhD project to undertake within the Centre for Doctoral Training for Data Analytics and Society.
Collaborator Contribution Provided data and staff time to support the PhD student through the project and internship.
Impact No impact yet
Start Year 2019
 
Description Priority Places for Food Index - Birmingham City Council 
Organisation Birmingham City Council
Country United Kingdom 
Sector Public 
PI Contribution Performed additional analysis of the Priority Places for Food Index data and provided a number of maps to inform Birmingham City Council's Food Strategy.
Collaborator Contribution Provided local context and guidance.
Impact CDRC have developed a number of regional maps to inform Birmingham City Council's food strategy.
Start Year 2022
 
Description Procter & Gamble 
Organisation Procter & Gamble
Department Newcastle Innovation Centre
Country United Kingdom 
Sector Private 
PI Contribution This is a piece of work applying the methods developed within the grant to research questions generated by the partner. I am supervising an intern to undertake the research.
Collaborator Contribution The partners have funded an intern based at the UoL and are supply expertise and access to data sets.
Impact This internship is due to commence in April 2021 for 6 months.
Start Year 2020
 
Description Rapid Assistance in Modelling the Pandemic (RAMP) - Mark Birkin 
Organisation Alan Turing Institute
Country United Kingdom 
Sector Academic/University 
PI Contribution Leeds has contributed research leadership (including CDRC PIs Birkin and Lomax), software development and data analysis including use of microsimulation modelling algorithms and designs developed previously through CDRC. Birkin sits on the RAMP Steering Group which coordinates a scientific research programme for the pandemic working through the Royal Society, Isaac Newton Institute and other partners (further detail at 2 below if needed), and which has supported development of the REMUS simulator as a policy tool for building understanding of the diffusion of covid and its management through policy interventions. Birkin has also contributed as section for urban analytics to the RAMP Rapid Review Group which has provided rapid peer review for research papers prior to evaluation by SAGE, SPI-M and other policy-making groups.
Collaborator Contribution We have worked with four partner universities (Leeds, Exeter, Cambridge, UCL) to develop the REMUS simulator, working with a leadership group of ten investigators and multiple post-docs and interns working pro bono. The Royal Society has provided support to this endeavour through formation of an academic steering group including multiple FRS and other scientists, with a professional secretariat providing administration and comms support.
Impact RAMP github account provides all code, data and dashboards developed by the team as open source: https://github.com/Urban-Analytics/RAMP-UA. Documentation/ outputs: Shaddick G, Malleson N, Abrams J, Batty M, Birkin M, Dennett A, Greig R, Jin Y, Lomax N, Milton R, Morrissey K, Shenton C, Spooner F (2020) A Dynamic Microsimulation Model of Epidemics. https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Lomax N, Morrissey K, Nur J (2020) Enhanced Population Estimates for Dynamic Spatial Microsimulation of Disease Spread, International Microsimulation Association, December 2020: https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Urban Analytics and Modelling the Pandemic, Australian Urban and Regional Information Network (AURIN) and Melbourne Centre for Data Science, September 2020: https://science.unimelb.edu.au/mcds/events/mcds-seminar-series-sep2020; Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics, Isaac Newton Institute, 10/11/2020 - https://www.newton.ac.uk/seminar/20200710093009502; Robust Epidemic Models with Urban Simulation, International Centre for Mathematical Sciences, Edinburgh, October 2020, https://media.ed.ac.uk/playlist/dedicated/51612401/1_qaw8vh3c/1_x5u2bwen.
Start Year 2020
 
Description Rapid Assistance in Modelling the Pandemic (RAMP) - Mark Birkin 
Organisation The Royal Society
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Leeds has contributed research leadership (including CDRC PIs Birkin and Lomax), software development and data analysis including use of microsimulation modelling algorithms and designs developed previously through CDRC. Birkin sits on the RAMP Steering Group which coordinates a scientific research programme for the pandemic working through the Royal Society, Isaac Newton Institute and other partners (further detail at 2 below if needed), and which has supported development of the REMUS simulator as a policy tool for building understanding of the diffusion of covid and its management through policy interventions. Birkin has also contributed as section for urban analytics to the RAMP Rapid Review Group which has provided rapid peer review for research papers prior to evaluation by SAGE, SPI-M and other policy-making groups.
Collaborator Contribution We have worked with four partner universities (Leeds, Exeter, Cambridge, UCL) to develop the REMUS simulator, working with a leadership group of ten investigators and multiple post-docs and interns working pro bono. The Royal Society has provided support to this endeavour through formation of an academic steering group including multiple FRS and other scientists, with a professional secretariat providing administration and comms support.
Impact RAMP github account provides all code, data and dashboards developed by the team as open source: https://github.com/Urban-Analytics/RAMP-UA. Documentation/ outputs: Shaddick G, Malleson N, Abrams J, Batty M, Birkin M, Dennett A, Greig R, Jin Y, Lomax N, Milton R, Morrissey K, Shenton C, Spooner F (2020) A Dynamic Microsimulation Model of Epidemics. https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Lomax N, Morrissey K, Nur J (2020) Enhanced Population Estimates for Dynamic Spatial Microsimulation of Disease Spread, International Microsimulation Association, December 2020: https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Urban Analytics and Modelling the Pandemic, Australian Urban and Regional Information Network (AURIN) and Melbourne Centre for Data Science, September 2020: https://science.unimelb.edu.au/mcds/events/mcds-seminar-series-sep2020; Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics, Isaac Newton Institute, 10/11/2020 - https://www.newton.ac.uk/seminar/20200710093009502; Robust Epidemic Models with Urban Simulation, International Centre for Mathematical Sciences, Edinburgh, October 2020, https://media.ed.ac.uk/playlist/dedicated/51612401/1_qaw8vh3c/1_x5u2bwen.
Start Year 2020
 
Description Rapid Assistance in Modelling the Pandemic (RAMP) - Mark Birkin 
Organisation University College London
Country United Kingdom 
Sector Academic/University 
PI Contribution Leeds has contributed research leadership (including CDRC PIs Birkin and Lomax), software development and data analysis including use of microsimulation modelling algorithms and designs developed previously through CDRC. Birkin sits on the RAMP Steering Group which coordinates a scientific research programme for the pandemic working through the Royal Society, Isaac Newton Institute and other partners (further detail at 2 below if needed), and which has supported development of the REMUS simulator as a policy tool for building understanding of the diffusion of covid and its management through policy interventions. Birkin has also contributed as section for urban analytics to the RAMP Rapid Review Group which has provided rapid peer review for research papers prior to evaluation by SAGE, SPI-M and other policy-making groups.
Collaborator Contribution We have worked with four partner universities (Leeds, Exeter, Cambridge, UCL) to develop the REMUS simulator, working with a leadership group of ten investigators and multiple post-docs and interns working pro bono. The Royal Society has provided support to this endeavour through formation of an academic steering group including multiple FRS and other scientists, with a professional secretariat providing administration and comms support.
Impact RAMP github account provides all code, data and dashboards developed by the team as open source: https://github.com/Urban-Analytics/RAMP-UA. Documentation/ outputs: Shaddick G, Malleson N, Abrams J, Batty M, Birkin M, Dennett A, Greig R, Jin Y, Lomax N, Milton R, Morrissey K, Shenton C, Spooner F (2020) A Dynamic Microsimulation Model of Epidemics. https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Lomax N, Morrissey K, Nur J (2020) Enhanced Population Estimates for Dynamic Spatial Microsimulation of Disease Spread, International Microsimulation Association, December 2020: https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Urban Analytics and Modelling the Pandemic, Australian Urban and Regional Information Network (AURIN) and Melbourne Centre for Data Science, September 2020: https://science.unimelb.edu.au/mcds/events/mcds-seminar-series-sep2020; Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics, Isaac Newton Institute, 10/11/2020 - https://www.newton.ac.uk/seminar/20200710093009502; Robust Epidemic Models with Urban Simulation, International Centre for Mathematical Sciences, Edinburgh, October 2020, https://media.ed.ac.uk/playlist/dedicated/51612401/1_qaw8vh3c/1_x5u2bwen.
Start Year 2020
 
Description Rapid Assistance in Modelling the Pandemic (RAMP) - Mark Birkin 
Organisation University of Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution Leeds has contributed research leadership (including CDRC PIs Birkin and Lomax), software development and data analysis including use of microsimulation modelling algorithms and designs developed previously through CDRC. Birkin sits on the RAMP Steering Group which coordinates a scientific research programme for the pandemic working through the Royal Society, Isaac Newton Institute and other partners (further detail at 2 below if needed), and which has supported development of the REMUS simulator as a policy tool for building understanding of the diffusion of covid and its management through policy interventions. Birkin has also contributed as section for urban analytics to the RAMP Rapid Review Group which has provided rapid peer review for research papers prior to evaluation by SAGE, SPI-M and other policy-making groups.
Collaborator Contribution We have worked with four partner universities (Leeds, Exeter, Cambridge, UCL) to develop the REMUS simulator, working with a leadership group of ten investigators and multiple post-docs and interns working pro bono. The Royal Society has provided support to this endeavour through formation of an academic steering group including multiple FRS and other scientists, with a professional secretariat providing administration and comms support.
Impact RAMP github account provides all code, data and dashboards developed by the team as open source: https://github.com/Urban-Analytics/RAMP-UA. Documentation/ outputs: Shaddick G, Malleson N, Abrams J, Batty M, Birkin M, Dennett A, Greig R, Jin Y, Lomax N, Milton R, Morrissey K, Shenton C, Spooner F (2020) A Dynamic Microsimulation Model of Epidemics. https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Lomax N, Morrissey K, Nur J (2020) Enhanced Population Estimates for Dynamic Spatial Microsimulation of Disease Spread, International Microsimulation Association, December 2020: https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Urban Analytics and Modelling the Pandemic, Australian Urban and Regional Information Network (AURIN) and Melbourne Centre for Data Science, September 2020: https://science.unimelb.edu.au/mcds/events/mcds-seminar-series-sep2020; Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics, Isaac Newton Institute, 10/11/2020 - https://www.newton.ac.uk/seminar/20200710093009502; Robust Epidemic Models with Urban Simulation, International Centre for Mathematical Sciences, Edinburgh, October 2020, https://media.ed.ac.uk/playlist/dedicated/51612401/1_qaw8vh3c/1_x5u2bwen.
Start Year 2020
 
Description Rapid Assistance in Modelling the Pandemic (RAMP) - Mark Birkin 
Organisation University of Exeter
Country United Kingdom 
Sector Academic/University 
PI Contribution Leeds has contributed research leadership (including CDRC PIs Birkin and Lomax), software development and data analysis including use of microsimulation modelling algorithms and designs developed previously through CDRC. Birkin sits on the RAMP Steering Group which coordinates a scientific research programme for the pandemic working through the Royal Society, Isaac Newton Institute and other partners (further detail at 2 below if needed), and which has supported development of the REMUS simulator as a policy tool for building understanding of the diffusion of covid and its management through policy interventions. Birkin has also contributed as section for urban analytics to the RAMP Rapid Review Group which has provided rapid peer review for research papers prior to evaluation by SAGE, SPI-M and other policy-making groups.
Collaborator Contribution We have worked with four partner universities (Leeds, Exeter, Cambridge, UCL) to develop the REMUS simulator, working with a leadership group of ten investigators and multiple post-docs and interns working pro bono. The Royal Society has provided support to this endeavour through formation of an academic steering group including multiple FRS and other scientists, with a professional secretariat providing administration and comms support.
Impact RAMP github account provides all code, data and dashboards developed by the team as open source: https://github.com/Urban-Analytics/RAMP-UA. Documentation/ outputs: Shaddick G, Malleson N, Abrams J, Batty M, Birkin M, Dennett A, Greig R, Jin Y, Lomax N, Milton R, Morrissey K, Shenton C, Spooner F (2020) A Dynamic Microsimulation Model of Epidemics. https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Lomax N, Morrissey K, Nur J (2020) Enhanced Population Estimates for Dynamic Spatial Microsimulation of Disease Spread, International Microsimulation Association, December 2020: https://www.microsimulation.org/conferences-and-workshops/microsimulation-modelling-of-policy-responses-to-covid-19/ Urban Analytics and Modelling the Pandemic, Australian Urban and Regional Information Network (AURIN) and Melbourne Centre for Data Science, September 2020: https://science.unimelb.edu.au/mcds/events/mcds-seminar-series-sep2020; Infectious Dynamics of Pandemics: Mathematical and statistical challenges in understanding the dynamics of infectious disease pandemics, Isaac Newton Institute, 10/11/2020 - https://www.newton.ac.uk/seminar/20200710093009502; Robust Epidemic Models with Urban Simulation, International Centre for Mathematical Sciences, Edinburgh, October 2020, https://media.ed.ac.uk/playlist/dedicated/51612401/1_qaw8vh3c/1_x5u2bwen.
Start Year 2020
 
Description Research project into various optimisation problems with WM Morrisons Supermarkets 
Organisation Morrison Supermarkets plc
Country United Kingdom 
Sector Private 
PI Contribution I investigated various optimisation problems, including supply chain and delivery vehicle routing.
Collaborator Contribution Provided data, advice and feedback on the project.
Impact Optimisation methods and results have been provided for the project partner who may implement them in normal operation
Start Year 2022
 
Description Research project to use high temporal resolution water metering data to better understand tourism trends in the South West of England. 
Organisation South West Water Ltd
Country United Kingdom 
Sector Private 
PI Contribution My part of this project was concerned with using dwelling level high temporal resolution water consumption data to gain a better understanding of tourism trends in the South West of England. We had a sample of 61 properties, 4 of which were known to be tourist properties. Using this dwelling level high temporal water consumption data we: - Developed some data cleaning methods, for example, for leak detection. - Developed a method to infer when tourist properties were occupied with a high degree of accuracy. - Investigated a range of features which could be extracted from the data to distinguish between tourist and residential properties. These features were used with unsupervised clustering methods and we were able to group tourist and residential properties together with 100% accuracy.
Collaborator Contribution South West Water provided the high-temporal resolution water consumption data for the project, as well as advice and support on interpreting the data. University of Plymouth's part of the project is concerned with water consumption data at the district metering area (DMA) level, rather than at the individual dwelling level, with each DMA covering approximately 1000 properties.
Impact We have presented our findings to representatives from the Office for National Statistics, who are interested in this work as it may be able supplement census data with more regular data on population statistics. Plans have been made for further research as part of the collaboration in 2022. Disciplines involved: - Data Science - Geography - Hydraulic Engineering
Start Year 2020
 
Description Research project to use high temporal resolution water metering data to better understand tourism trends in the South West of England. 
Organisation University of Plymouth
Country United Kingdom 
Sector Academic/University 
PI Contribution My part of this project was concerned with using dwelling level high temporal resolution water consumption data to gain a better understanding of tourism trends in the South West of England. We had a sample of 61 properties, 4 of which were known to be tourist properties. Using this dwelling level high temporal water consumption data we: - Developed some data cleaning methods, for example, for leak detection. - Developed a method to infer when tourist properties were occupied with a high degree of accuracy. - Investigated a range of features which could be extracted from the data to distinguish between tourist and residential properties. These features were used with unsupervised clustering methods and we were able to group tourist and residential properties together with 100% accuracy.
Collaborator Contribution South West Water provided the high-temporal resolution water consumption data for the project, as well as advice and support on interpreting the data. University of Plymouth's part of the project is concerned with water consumption data at the district metering area (DMA) level, rather than at the individual dwelling level, with each DMA covering approximately 1000 properties.
Impact We have presented our findings to representatives from the Office for National Statistics, who are interested in this work as it may be able supplement census data with more regular data on population statistics. Plans have been made for further research as part of the collaboration in 2022. Disciplines involved: - Data Science - Geography - Hydraulic Engineering
Start Year 2020
 
Description SPENSER - A Synthetic Population Estimation and Scenario Projection Model (2) - University of Southern California - Luke Archer intern project (April-Sept 2019) 
Organisation University of Southern California
Country United States 
Sector Academic/University 
PI Contribution CDRC Co-I Nik Lomax supervised intern Luke Archer on the SPENSER project. Project created a Future Elderly projection model using the model created at the University of Southern California.
Collaborator Contribution Project created a Future Elderly projection model using the model created at the University of Southern California. Luke Archer spent a week at SoCal University on secondment receiving instruction in the code of the model.
Impact Luke Archer has since successfully applied to join the Leeds Urban Analytics team led by CDRC Co-Is Nik Lomax, Alison Heppenstall and Nick Malleson.
Start Year 2019
 
Description Sainsbury's LIDA Strategic Partnership 
Organisation Sainsbury's
Country United Kingdom 
Sector Private 
PI Contribution This collaboration uses retail transaction data to investigate dietary patterns that are associated with health and sustainability outcomes. My team have contributed both nutrition and data science expertise to this work.
Collaborator Contribution The partners have contributed data and understanding of these data, alongside working knowledge of the business.
Impact Our research has contributed to Sainsbury's approach to promoting healthy and sustainable diets as part of their carbon net zero 2040 targets. Conference publications have been delivered and academic results papers are forthcoming,
Start Year 2017
 
Description Secondment to National Food Strategy Team at Defra 
Organisation Department For Environment, Food And Rural Affairs (DEFRA)
Country United Kingdom 
Sector Public 
PI Contribution Undertaking 4 month secondment with Defra National Food Strategy team to model potential taxation strategies to improve population diet in terms of health and sustainability outputs. Supported my Dr Michelle Morris in an advisory capacity.
Collaborator Contribution Supervision of the project including expertise in policy, environmental sustainability and networking with expert advisors and industry stakeholders. Defra also provided financial support through payment of researcher salary during secondment period.
Impact Activity is still ongoing. Results will feed into recommendations within part 2 of the National Food Strategy report. These will be developed into a Government White Paper, committing policy actions.
Start Year 2021
 
Description Statistics Norway - advice on dynamic microsimulation 
Organisation Statistics Norway
Country Norway 
Sector Public 
PI Contribution The team visited Statistics Norway in June 2022 to provide advice on their development of a dynamic microsimulation model fo regional population projection. Data for Norway is high quality (longitudinal register) and the methods developed as part of our SPENSER project to estimate transitions of individuals are of interest to Statistics Noway. Ntatistics Norway have now developed a model and the team are visiting again in August 2023 to provide further advice and continue the collaboration.
Collaborator Contribution Statistics Norway have high quality data and modelling expertise in developing dynamic microsimulation models. THe collaboration is two way as Statistics Norway are able to provide advice on the continued development of the SPENSER model.
Impact Outputs from the Norwegian microsimulation have been produced and are being quality assured.
Start Year 2021
 
Description Sustain -- MAAP - Mapping Advertising Assets across Leeds Project (Dr Victoria Jenneson) 
Organisation Sustain (food and farming alliance)
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Development of a new dashboard tool (MAAP) for exploration of outdoor advertising exposures in visited areas in Leeds https://maap-dashboard.azurewebsites.net/ - developed by Francesca Pontin, Alex Hamberley, Imani Wilson and Vicki Jenneson.
Collaborator Contribution Input of expertise, networks, and domain-specific knowledge.
Impact MAAP dashboard Manuscript for Public Health Nutrition - in preparation - plans for submission before end of Q1 2024 Multidisciplinary - food science and nutrition, data science and analytics, public health
Start Year 2023
 
Description Telefonica 
Organisation Telefonica S.A
Department Telefónica UK Limited
Country United Kingdom 
Sector Private 
PI Contribution Data Scientist Internship projects to work with the data
Collaborator Contribution Data provided - origin destination anonymised and aggregated for Leeds region
Impact tbd
Start Year 2019
 
Description University of Curitiba 
Organisation Federal Technological University of Paraná
Country Brazil 
Sector Academic/University 
PI Contribution I have acted as external examiner to student activity at the university. The University of leeds has signed an MOU with UTFP.
Collaborator Contribution UFTP have supported data collection activities to better understand incentives for behavioural change.
Impact Two student thesis, publication.
Start Year 2018
 
Description Urban Transport Modelling for Sustainable Well-Being in Hanoi 
Organisation Vietnam National University
Country Viet Nam 
Sector Academic/University 
PI Contribution Expertise is data wrangling, production of reproducible outputs, visualisation, modelling and spatial analysis.
Collaborator Contribution Access to data of Hanoi transport survey and feedback on the project.
Impact Discipline: Urban Analytics
Start Year 2019
 
Description WHO - LIDA Data Science Development Programme 2023-24 
Organisation World Health Organization (WHO)
Country Global 
Sector Public 
PI Contribution TBC
Collaborator Contribution TBC
Impact TBC
Start Year 2023
 
Description WUN network 
Organisation Chinese University of Hong Kong
Country Hong Kong 
Sector Academic/University 
PI Contribution Determination of a joint research agenda. Hosting a student for an internship. Hosting a planned joint international workshop. Financial support to travel for joint events.
Collaborator Contribution Determination of joint research agenda. Hosting a planned joint international workshop. Financial support to travel for joint events.
Impact this collaboration is multi-disciplinary, involving disciplines including transport, population health studies, sustainability experts, behavioural experts.
Start Year 2020
 
Description Which? Collaboration - Priority Places for Food Index 
Organisation Which?
Country United Kingdom 
Sector Private 
PI Contribution The CDRC worked in partnership with Which? to develop the Priority Places for Food Index - a place based tool to identify neighbourhoods in the UK most at risk of food insecurity to enable retailers and policy makers to target interventions to benefit those most at risk. CDRC lead the development of the tool and completed all technical activity. Collectively we ran a large scale communications campaign to launch the tool and the associated 'Affordable food for All campaign.
Collaborator Contribution Which? provided advice and guidance on the tool from a consumer rights perspective. They also provided qualitative data and additonal analysis to contextualise some of the insights.
Impact The project itself builds on strong retailer expertise from Co-I Professor Morris, who leads CDRC's collaboration with the Institute of Grocery Distribution (IGD, see below for further info), focusing on changing consumer behaviour through retailer-run in-store and online interventions. It is this strong, pre-existing network and corpus of research that grew CDRC's reputation for impactful and responsible research with consumers and retailers, and which allowed CDRC to bring to the collaboration with Which? a desire to effect meaningful real-world change. The outcome of this collaboration was an interactive tool, the Priority Places for Food Index (PPFI, https://priorityplacesforfood.which.co.uk/), which has become a meaningful tool for changes for both retailers and policymakers who hope to tackle food insecurity, particularly in a cost-of-living crisis. Launched late 2022, the PPFI, developed by Morris, Drs Pontin, Baudains, Ennis, and Which?, scores food security by bringing together datasets on food accessibility and sociodemographic barriers to accessing that food. Areas of roughly 650 households across the UK are then scored within 10 deciles of food security, demonstrating the disparities in food access below constituency level. Because of the way the tool reframes debates and accentuates policy demands, it has already begun transforming the practice, thinking, and capacity of policymakers supporting the communities hardest-hit by the cost-of-living crisis. As of March 2023, the PPFI has been visited online 6,649 times by 4,695 unique users, and targeted engagement activities have been led by CDRC with policymakers at city, county, regional, and national levels. The Office for Health Improvement and Disparities (OHID), specifically in London, Yorkshire and Humber, and the South East, have identified the Index as a new way of monitoring and evaluating policy implementation. The tool will be used alongside health dashboards across the UK to assess how food insecurity overlaps with health outcomes. The Scottish Government have also recognised the capacity of the Index as a decision-making tool, providing a series of policy questions to "ask" the Index to solve. It has also been used as a foundation for local responses to the National Food Strategy (NFS) at city- and county-level and their monitoring and evaluation. This means the tool has started to change thinking or capacity within public policy at local, regional, and national levels by targeting specific areas for effective and efficient public service provision.
Start Year 2022
 
Description WhytHawk - CDRC Internship 2020-21 (Seb Heslin Rees and Simon Leech) 
Organisation WhytHawk
Country United Kingdom 
Sector Private 
PI Contribution This partnership is governed by CDRC Data Service user agreements under project LEEDS004 for WhytHawk data on the rented commercial housing stock in the UK. CDRC admin processed this application for this intern project, and CDRC Co-Director Nik Lomax is the project PI who has been leading the project team (and providing mentorship and supervision to) CDRC interns Simon Leech and Seb Heslin-Rees, with support provided by CDRC Research Software Engineer Dustin Foley.
Collaborator Contribution WhytHawk have provided the data for this collaboration.
Impact No outputs yet, but a project case study will be forthcoming from intern Seb Heslin-Rees in April 2021.
Start Year 2020
 
Description Whythawk data sharing agreement 
Organisation WhytHawk
Country United Kingdom 
Sector Private 
PI Contribution Managed the process of signing a CDRC data sharing agreement
Collaborator Contribution Provided business property level data
Impact n/a
Start Year 2020
 
Description Whythawk data sharing agreement 
Organisation WhytHawk
Country United Kingdom 
Sector Private 
PI Contribution Managed the process of signing a CDRC data sharing agreement
Collaborator Contribution Provided business property level data
Impact n/a
Start Year 2020
 
Description collaboration on UK micromobility 
Organisation Voi Technology
Country Sweden 
Sector Private 
PI Contribution Expertise in the use of new and emerging data forms, knowledge of links between micro-level data and health outcomes.
Collaborator Contribution Contributions related to VOI assets and research support.
Impact The collaboration has taken the form of a shared research activity, using new and emerging data forms to create understanding around the wider impacts of e-scooter use.
Start Year 2020
 
Description collaboration on micromobility 
Organisation University of California, Davis
Country United States 
Sector Academic/University 
PI Contribution Joint development of research bid(s) and staff resource/expertise for joint research outputs.
Collaborator Contribution Joint development of research bid(s) and staff resource/expertise for joint research outputs.
Impact Two conference abstracts prepared and research proposal under development. Main disciplines involved: transportation studies, behavioural science, marketing, modelling.
Start Year 2019
 
Description collaboration on transport-health research 
Organisation University of Cambridge
Country United Kingdom 
Sector Academic/University 
PI Contribution Further development of software. Led workshops and large research proposal
Collaborator Contribution Use of modelling software and contribution of expertise to joint proposals, engagement with workshops.
Impact Multidisciplinary, involving epidemiology and transport studies. Workshop outputs from two events.
Start Year 2018
 
Title Carbon Footprint Calculator 
Description The Carbon Footprint Calculator is a decision making tool developed by CDRC in partnership with Leeds City Council. It allows users to upload recipe information and provides estimates of nutrition and environmental impacts of those recipes, based on the ingredients and their quantities in each recipe. 
Type Of Technology Webtool/Application 
Year Produced 2022 
Impact We continue to develop the tool in collaboration with Leeds City Council. We have also planned further projects with other partners to continue to expand the underlying database and make it relevant to more application areas and organisations. 
URL https://carbonfootprintcalculator.cdrc.ac.uk/
 
Title Leeds Observatory Census Dashboard 
Description A data dashboard providing access to Leeds 2021 census data for a range of end-users including policy makers, citizens and academics. 
Type Of Technology Webtool/Application 
Year Produced 2023 
Impact The Intelligence & Policy Team at Leeds City Council (LCC) receives a substantial number of census-related data requests from councillors, different departments, and members of the public. The process of downloading, manipulating, and analysing census data can be time-consuming and tedious. This dashboard minimised the time spent on this process, providing insights at the click of a button. "The Census is a vital tool in helping us to better understand our city and the people who live and work here. The depth of insight at the touch of a button this project has enabled us to access will change the game in supporting more people to access meaningful data in a user-friendly way. In addition, the results from the project will assist us through informing strategic conversations with councillors, helping to guide our work on equality diversity and inclusion, and generating further lines of enquiry more quickly than we've been able to previously." Mike Eakins - Head of Policy, Leeds City Council 
URL https://observatory.leeds.gov.uk/home/census-2021/
 
Title Nutrient Profile Model Calculator - Vicki Jenneson, Alex Coleman and Dustin Foley 
Description The tool calculates a product's UK Nutrient Profile Model score based on information about the product provided by the user. This score provides insight as to whether the product is in scope for The Food (Promotion and Placement)(England) Regulations 2021 (which we dub 'HFSS legislation'. The development of NPM calculator v2 (under development), incorporating multiple product assessment file upload capability. The development of the tool includes a r package, nutrient profiler (currently under development). This update-development allows a flexible coding application of the NPM calculator rules 
Type Of Technology Webtool/Application 
Year Produced 2024 
Open Source License? Yes  
Impact Presentation at CDRC Data Partner Forum - 24th October 2024 The tool has been broadly disseminated to public on the two CDRC social media platforms: CDRC Leeds on LinkedIn - https://www.linkedin.com/company/consumer-data-research-centre?originalSubdomain=uk CDRC Leeds on Twitter - https://twitter.com/CDRC_UK 
URL https://npmcalculator.cdrc.ac.uk/
 
Title Nutrient Profile Model Online Calculator 
Description From October 2022, HFSS legislation means new restrictions on product placement for some high fat, salt or sugar products. The Nutrient Profile Model Online Calculator calculates a product's UK Nutrient Profile Model score based on information about the product provided by the user. This score provides insight as to whether the product is in scope for The Food (Promotion and Placement)(England) Regulations 2021 (which we dub 'HFSS legislation'. 
Type Of Technology Webtool/Application 
Year Produced 2022 
Open Source License? Yes  
Impact The tool supports compliance and enforcement activities relating to HFSS legislation. It has been visited 1289 times by 654 unique visitors and has led to positive feedback from industry practitioners on the value of the tool. 
URL https://npmcalculator.cdrc.ac.uk/
 
Title Planet Plates 
Description Planet Plates is a free online game to support engagement with young people in local primary schools on data science, food and sustainability. 
Type Of Technology Webtool/Application 
Year Produced 2022 
Impact The game was initially used within special lessons and workshops with primary school children. It has now been made available via the cdrc website for anyone to use. 
URL https://planetplates.cdrc.ac.uk/
 
Title Power BI Dashboard visualizing food insecurity and health outcomes data 
Description Power BI Desktop 
Type Of Technology Webtool/Application 
Year Produced 2023 
Impact Enabling public health policymakers to simultaneously visualize food insecurity and health data in Oxfordshire. This would allow them to answer questions about where high food insecurity risk could be contributing to poor health outcomes of a specific type. The tool uses different visuals which include HTML visuals, bar charts, and maps to create the interactive experience for the user whereby the data shown dynamically changes based on the selections made. 
 
Title Priority Places for Food Explorer 
Description The Priority Places for Food Explorer is an interactive data visualisation developed by the CDRC in partnership with Which? for visual analysis of the Priority Places for Food Index to help identify local areas who are most at risk of food insecurity in the context of increases in the cost of living. 
Type Of Technology Webtool/Application 
Year Produced 2022 
Open Source License? Yes  
Impact The web tool has been visited online 6,649 by 4,695 unique users since its release in November 2022 and has been the focus of presentations and engagements with retailers, charities, and local, regional and national government departments, as described elsewhere in this submission. These organisations have identified the visualisation and the underlying data as a means of supporting initiatives targeted at addressing food insecurity. We have released the data visualisation as open source software primarily to enable organisations to integrate their own bespoke and potentially commercially sensitive data sources (i.e. data sources that cannot be released more widely). We expect this to generate further intelligence for organisations that are providing support for food insecurity and working to improve access to affordable food. 
URL https://priorityplaces.cdrc.ac.uk/
 
Title SPENSER version 1 software & code 
Description This software comprises the packages which make up version 1 of the SPENSER ecosystem. The software are open source and allow users to create bespoke population projections. 
Type Of Technology Software 
Year Produced 2019 
Open Source License? Yes  
Impact Used to produce population estimates and projections for the EPSRC funded Infrastructure Transitions Research Consortium https://www.itrc.org.uk/ Used in the OxCam Arc analysis which is engaging local authorities, planners and industry https://www.itrc.org.uk/wp-content/uploads/2020/01/arc-main-report.pdf 
URL https://www.itrc.org.uk/highlights/popnation-predicts-household-distribution-to-incredible-level-of-...
 
Description "Discovery Day" with the Connected Places Catapult 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact "Discovery Day" with the Connect Places Catapult - workshop to agree focus and priorities for strategic collaboration
Year(s) Of Engagement Activity 2020
 
Description 31st Annual Geographical Information Science Research UK Conference , Glasgow - Analysing Connected Car Data to Understand Vehicular Route Choice 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact I presented a paper titled "Analysing Connected Car Data to Understand Vehicular Route Choice" at GISRUK 2023. There were about 50 people seated in my presentation. The paper was also published and currently has 271 unique views and 184 unique downloads. At the end of my presentation, I was asked about the process for applying for the data used in the study.
Year(s) Of Engagement Activity 2023
URL https://lnkd.in/eRVJmC6p
 
Description A Practical Guide to Data Science Projects 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Professional Practitioners
Results and Impact A presentation was made to the latest cohort of 12 data scientists on the LIDA Data Scientist Development Programme providing a practical guide to data science before the data scientists embarked on their first projects. The presentation themes were around reproducibility, openness of research, and on delivering impact. The presentation content was made available online.
Year(s) Of Engagement Activity 2022
URL https://github.com/peterbaudains/practical-guide-to-data-science-projects
 
Description A briefing for parliament 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Nik Lomax was invited by the Parliamentary Office for Science and Technology to give a talk at a closed briefing for parliamenarians entitled Unpacking migration: regional diversity and impact on public services. There were questions from parliamentarians and government advisors and follow up requests for information. An edited video is being developed for the POST website.
Year(s) Of Engagement Activity 2021
URL https://post.parliament.uk/unpacking-migration-regional-diversity-and-impact-on-public-services/
 
Description A scoping study for an independent repository of gambling industry data, conducted for Gamble Aware 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Third sector organisations
Results and Impact We were asked to undertake a scoping study for an independent repository of gambling industry data by Gamble Aware, a grant-making charity using best-practice in commissioning, including needs assessment, service planning, evaluation and outcome reporting to support effective, evidence-informed, quality assured prevention of gambling harms. The repository will house with operator data and allocate funds for research in to gambling related harms. Our report formed a key piece of evidence in the set up of the repository.
Year(s) Of Engagement Activity 2019
URL https://about.gambleaware.org/media/2036/gambleaware-report-29-august-2019-final.pdf
 
Description A talk to school children via the Geography Education Online platfrom 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Schools
Results and Impact A talk for school age children (GCSE and A Level) organised by GEO (Geography Education Online) who are the online educational arm of the Geographical Association. The talk was entitled "Demographic change and population projections". It was broadcast live and seen by a number of student son the day. It is also avaiulable for catchup via the website/youtube.
Year(s) Of Engagement Activity 2021
URL https://geographyeducationonline.org/event/demographic-change-and-population-projections
 
Description ADR UK Blog Post 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Other audiences
Results and Impact Blog post written for the ADR-UK website (the funders of the Local Data Spaces Project) to outline what the 6-month project had shown and the outputs generated. Designed to push people towards the CDRC website to download the reports.
Year(s) Of Engagement Activity 2021
URL https://www.adruk.org/news-publications/news-blogs/using-local-level-data-to-investigate-covid-19-in...
 
Description AI and Urban Dynamics: Delivering insight & efficiency in the built environment 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact One of two expert presentations and panel discussion (three members) reviewing advances and obstacles to the exploitation of 'smart city' resources using advanced data science and AI (including digital twinning). 222 members of the audience drawn from household name organisations, government and relevant professions. Hosted by Osborne-Clarke.
Year(s) Of Engagement Activity 2022
URL https://www.osborneclarke.com/insights/smart-cities-ai-boosting-understanding-urban-dynamics
 
Description AI- Building a Future for the Urban Analytics Blueprint, Bristol - Mark Birkin - 16th Oct 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Third sector organisations
Results and Impact CDRC PI Mark Birkin was a speaker at the event. 70 attendees.
Impact - delivered the Blueprint (i.e. strategy document) for development of the Urban Analytics Digital Twin, in combination with the Turing and UKRI-SPF. Further funding allocated to this strategy in March 2020.
Year(s) Of Engagement Activity 2019
 
Description AMA Winter 2022 - Conference Presentation - Green, competitive and resilient in times of uncertainty 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Presentation of the paper entitled "Green, competitive and resilient in times of uncertainty". Post-presentation there was a discussion relating to the impact of this work and the translation of the results.
Year(s) Of Engagement Activity 2022
URL https://www.ama.org/events/academic/2022-ama-winter-academic-conference/
 
Description AMA Winter 2022 - Conference presentation - How and when does big data analytics contribute to market performance? 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Presentation of the paper "How and when does big data analytics contribute to market performance?" A discussion among conference delegates followed soon after the presentation.
Year(s) Of Engagement Activity 2022
URL https://www.ama.org/events/academic/2022-ama-winter-academic-conference/
 
Description ATI Workshop stakeholder meeting and research meeting, Oxford - Mark Birkin - 16th-17th Jan 2020 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Third sector organisations
Results and Impact 12 people. Outcome - successful proposal for £250K extension funding for AI, demographic change, land-use and sustainable development (partnership with Newcastle and Oxford).
Year(s) Of Engagement Activity 2020
 
Description Act Locally Keighley Partnership Convening Event - 23rd Feb 2024 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Schools
Results and Impact Convening partnership meeting to establish Act Locally Keighley stakeholder goals around treating malnutrition, poor access to food, dental decay, school absence and lack of aspiration amongst local students. Partnership is taking a cross sector approach to tackle food insecurity, inequalities and higher education opportunities for local young people. One proposed outcome from the meeting was the development of a tech hub in Keighley at Dalton Mills.
Year(s) Of Engagement Activity 2024
 
Description Alison Heppenstall featured in CARTO's guide to the top 50 Twitter accounts for Spatial Data Science - 8th May 2019 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Public/other audiences
Results and Impact CDRC Co-I Alison Heppenstall was featured in CARTO's list of top 50 Spatial Data Science Twitter accounts to follow, leading to increased numbers of Twitter followers.
Year(s) Of Engagement Activity 2019
URL https://carto.com/blog/spatial-data-science-twitter-guide/?utm_content=91103882&utm_medium=social&ut...
 
Description Alpha Skills: what are they and how can we teach them? Talk by Kylie Norman - Nov 2022 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Postgraduate students
Results and Impact Kylie Norman is part of the CDRC leadership team of its Data Scientist Development Programme, and has actively shaped the team's approach to mentoring early career data scientists for leadership and alpha skills. She's developed a reputation for this at the University of Leeds and was invited by the UoL Horizons Institute to speak to an audience of internal and external staff and partners about the value of alpha skills and mentoring, and how we can teach these skills for a stronger workforce. The talk was followed by lots of Q&A with the chair reporting changed views, and plans made for future related activity. Kylie has now been invited to consult on the Horizons Institute's own mentorship programme in 2023.
Year(s) Of Engagement Activity 2022
 
Description Applied Urban Modelling - Mark Birkin (Nov 2020) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact Professor Mark Birkin and Dr Nik Lomax joined colleagues from the Alan Turing Institute to present the work of the RAMP Urban Analytics and Modelling Group in a session on spatial modelling as rapid response to mitigate the pandemic.
Year(s) Of Engagement Activity 2020
 
Description Artificial Intelligence Task Force - International Association of Assessing Officers (IAAO) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The IAAO are the professional members Organization of government assessment officials- those who do mass appraisal of property markets for tax and other purposes
https://www.iaao.org/

This task force looking to assess the validity of using AI for these appraisals by the professional community. Findings will be translated in to practice for valuation offices around the world. Results will be presented at international conferences and in white papers published on the IAAO website.
Year(s) Of Engagement Activity 2020
URL https://www.iaao.org/wcm/About/Committees/wcm/About_Us_Content/Committees.aspx
 
Description Asda & LIDA Health & Sustainability Ideathon 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Industry/Business
Results and Impact The ideathon was hosted online to bring the two groups (ASDA and LIDA) together to generate innovative ideas on how to use data and technology to support customers to live healthier and more sustainable lives.
Year(s) Of Engagement Activity 2022
 
Description Asda LIDA Health & Sustainability Hackathon 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Industry/Business
Results and Impact Approximately 40 individuals attended a hackathon organised by ASDA to explore ways to enrich its systems relating to the promotion of healthy and sustainable diets towards its customers. I was involved in the development of a system that provided its clients with a personalised meal planning option that supported healthy and sustainable diets.
Year(s) Of Engagement Activity 2023
 
Description Asda Strategic Partnership - Press Release 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Media (as a channel to the public)
Results and Impact Press release to announce strategic partnership between CDRC, Leeds Institute for Data Analytics and Asda. Press release generated coverage in industry publications including Insider Media
Year(s) Of Engagement Activity 2022
URL https://www.insidermedia.com/news/yorkshire/asda-and-university-of-leeds-launch-data-partnership
 
Description Attendance at the UK Nutrition Research Partnership forum on Advancing Dietary Intake Assessment 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact Attendance at a virtual forum to discuss the fundamental challenges to dietary intake assessment research methods. I increased awareness of the potential utility of supermarket loyalty card transaction data as a source dietary monitoring, this sparked discussion of how novel data sources can be used to compliment more traditional dietary assessment methods. The forum aimed to develop a network of researchers committed to improving dietary assessment. I have agreed to participate in further workshops, and the outputs will be published in a UK Nutrition journal.
Networking at the event also led to follow up discussions with researchers at the Quadram Institute about the need for open dietary data, including product nutritional information, for the implementation and monitoring of policy. There is potential for this to lead to further collaboration with the Quadram Institute.
Year(s) Of Engagement Activity 2021
 
Description BBC Politics North Interview - MM 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Public/other audiences
Results and Impact Prof Michelle Morris took part in an interview on how minimum spend thresholds and delivery charges make access to online grocery deliveries difficult for people in many priority places across the region (and beyond). The interview highlighted our Priority Places for Food Index.
Year(s) Of Engagement Activity 2023
URL https://www.bbc.co.uk/programmes/m001lfl0
 
Description Being A Data Science Intern: insights, challenges and benefits - Melinda Green (June 2021) 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact Blog post by Rosalind Martin about her experiences on the Data Science Intern programme - useful for both postgraduates considering applying for the scheme or organisations thinking about offering an intern project on it.
Year(s) Of Engagement Activity 2021
URL https://www.cdrc.ac.uk/being-a-data-science-intern/
 
Description Big Data Event London 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact I attended the Big Data Event in London, a networking event consisting of businesses who work in Machine Learning, Data Science and Coding.

The purpose of my attendance was to network, meet new people/organisations and scope new potential research opportunities and CDRC partners.

During my visit as a delegate, I had the opportunity to speak with people from a diverse range of organisations, to learn more about what they do and why they do it, along with providing them with details and information about CDRC, our mission, and the work we've done and continue to do.

The most significant impact was creating awareness about CDRC to industry professionals, and exchanging details with potential future collaborators.
Year(s) Of Engagement Activity 2022
URL https://bigdataldn.com/
 
Description Blog Post 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Blog post discussing the new partnership with the Institute of Grocery Distribution (IGD) and plan for analysis of the trials as part of the Healthy and Sustainable Diets Project. Blog posted on the CDRC website, then also posted on IGD's website and shared in their health newsletter (500+ subscribers).
Year(s) Of Engagement Activity 2021
URL https://www.igd.com/articles/article-viewer/t/palatable-change-from-the-pandemic--a-new-food-environ...
 
Description Blog Post 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Blog post discussing the first findings of analysis on the programme of work with Institute of Grocery Distribution (IGD). The blog discussed key findings from analysis of a repeat intervention run by Sainsbury's, discussing the results as shared in IGD's recent behavioural insights report. These are the first insights shared from analysis as part of the Healthy and Sustainable Diets (H&SD) project, gathering appetite and engagement within H&SD group of leading UK retailers and manufacturers.
Year(s) Of Engagement Activity 2022
URL https://www.cdrc.ac.uk/fruit-and-veg-findings-igd-report-follow-up/
 
Description Blog post for Bowel Cancer Intelligence UK website 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact Blog post for the Bowel Cancer Intelligence UK website about a trip to New Zealand to present preliminary findings from my PhD at the International Medical Geography Symposium in Queenstown and attend a workshop at the University of Christchurch, Canterbury. The blog post enabled me to share some of my PhD activities with a wider audience.
Year(s) Of Engagement Activity 2019
URL https://bci.leeds.ac.uk/2019/07/29/attending-the-18th-international-imgs/
 
Description Blueprint event (Newcastle) - Mark Birkin - 11th-13th April 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Third sector organisations
Results and Impact Workshop of 90 people, including presentation from CDRC PI Mark Birkin.
Outcome & impact - follow-on event in Bristol (16th October). Charisma Choudhury introduced to Phil Blyth (Chief Scientific Advisor in Department for Transport) leading to Charisma's successful Future Leaders application (awarded March 2020) on Next Generation Travel Activity and Behaviour Models.
Year(s) Of Engagement Activity 2019
 
Description Book launch, UCL cloisters; Mark Birkin attended (19/02/2019) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Other audiences
Results and Impact 50 people. Networking event with City Scientists, CDRC partners and members of other sites.
Year(s) Of Engagement Activity 2019
 
Description Bring a spoon to the Table: EDI Allyship and Positive Action Recruitment - Kylie Norman - Feb 2023 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Postgraduate students
Results and Impact Kylie spoke to an internal and external audience of ca. 50 (webinar recorded and circulated with more) on the subject of the positive action recruitment work she and the team at CDRC-Leeds effected through its Data Scientist Development Programme in 2021-22. There was healthy discussion, both in the chat and through participant Q&A, including evidence of changed views and Kylie shared the team's positive action case study so that others could use as an exemplar.
Year(s) Of Engagement Activity 2023
 
Description British Society for Population Studies conference presentation: Demographic and geographic determinants of physical activity: findings from a novel dataset 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Other audiences
Results and Impact Presented work to date to specialist audience. Received useful feedback and questions to guide research development.
Year(s) Of Engagement Activity 2018
URL https://www.lse.ac.uk/social-policy/Assets/Documents/bsps/Timetable-2018.pdf
 
Description Budapest Visit: AI as a Bridge between Hungary and the UK, Mark Birkin (14/03/2019) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Policymakers/politicians
Results and Impact 20 people including British Ambassador, Deputy Minister of State for Innovation (Head of Digital Economy Department). Data science policy development (how UK government & private organizations build, incentivize, promote, internationalize and measure data science/ AI as a tool in their products & services: key local insights, case studies. "Ecosystem Shepherding": Explore how Hungarian AI stakeholders could collaborate with UK partners and identify how they could improve their service offering. What can Hungary's 6 Digital Innovation Hubs offer to UK partners?
Year(s) Of Engagement Activity 2019
 
Description CDAS Partner Engagement 2019 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Postgraduate students
Results and Impact I gave a short presentation about my PhD research "Cycling and socioeconomic disadvantage" for the rest of CDT students, supervisors, and Industry Partners.
Year(s) Of Engagement Activity 2019
URL https://eugenividal.github.io/slides/all_cycling.html#1
 
Description CDRC 2022 Conference: Evaluating strategies for healthier and more sustainable dietary choices 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact This presentation was about my Institute of Grocery Distribution funded LIDA Data Scientist Development Programme project: "Evaluating strategies for healthier and more sustainable dietary choices". It fell under the CDRC themed Health & Wellbeing parallel session. During the session, questions were asked about the method of evaluating the effect of interventions designed to help shift food purchasing patterns towards the Eatwell Guide, the role of retailers in the push towards better diets, and the suitability of the Eatwell Guide as the food-based dietary guideline being worked towards. The event increased people's knowledge about a specific CDRC project contributing to a larger body of work and may lead to new connections and collaborations (with both academia and industry). Members of the IGD were present and also commented positively on the presentation.
Year(s) Of Engagement Activity 2022
URL https://www.cdrc.ac.uk/cdrc-conference-2022-full-agenda/
 
Description CDRC Blog Post: "COVID for Christmas? Analysing patterns of Christmas mobility in the UK" 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact Topical blog post written on analysing Cuebiq smartphone mobility data in the context of UK COVID-19 'lockdown' restrictions across Christmas 2020. Posted on the CDRC and LIDA websites. Included in the LIDA researcher bulletin for Feb 2021 and mentioned at the Jan 2021 LIDA Seminar Series. Promotion reached 10,650 recorded impressions on Twitter, with 485 recorded engagements and 179 full-article reads at the last count. These crossed national researcher communities following retweets from researchers at UCL, University of Cambridge and elsewhere. Response to the blog post was positive and lays the groundwork for future plans to write and publish a journal paper with similar themes.
Year(s) Of Engagement Activity 2021
URL https://www.cdrc.ac.uk/covid-for-christmas-analysing-patterns-of-christmas-mobility-in-the-uk/
 
Description CDRC Conference 2022: Inside Consumer Data - Melinda Green (March 2022) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact The conference was an opportunity to showcase the work of the CDRC and set it in its broadest context. We started with two keynote speakers - Judith Batchelar OBE (Director of Food Matters International, formerly Director of Sainsbury's Brand) and Lauren Sager Weinstein (Chief Data Officer, Transport for London). We then had three parallel sessions, focusing on CDRC themes (Health & Wellbeing, Urban Analytics and Sustainability), with twelve researchers presenting research findings on eleven different projects. Our final session was an in-conversation with four early-career researchers about their experiences on the CDRC's training programmes and working on collaborative industry/academic projects. The event increased people's knowledge about the CDRC and will lead to new connections and collaborations (with both academia and industry).
Year(s) Of Engagement Activity 2022
URL https://www.cdrc.ac.uk/cdrc-conference-2022-full-agenda/
 
Description CDRC Conference 2022: session recordings - Melinda Green (March 2022) 
Form Of Engagement Activity A broadcast e.g. TV/radio/film/podcast (other than news/press)
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Media (as a channel to the public)
Results and Impact This playlist contains recordings from the five sessions at Conference, as well as Judith Batchelar's full Q&A. It provides an incredible legacy asset, so that the information, knowledge and insight shared on the day is available more widely longer-term. It shares the CDRC's work, enhances our reputation and will hopefully be a step on the path to building new connections and research collaborations.
Year(s) Of Engagement Activity 2022
URL https://youtube.com/playlist?list=PLhXBWpS6zbz0inFrfElJIYWhzOI6doOWF
 
Description CDRC Data Partner Forum 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Professional Practitioners
Results and Impact CDRC Leeds hosted the annual Data Partner Forum in 2023 - speakers included representatives from Morrisons, Leeds City Council, BT, Geolytix, Good Food Oxfordshire. Attendees included representatives from CDRC partners including West Yorkshire Combined Authority, Rethink Food, SDR UK, Which?, IGD, Miac Analytics, Sainsbury's, Morrisons, Leeds and Bradford City Councils.
Year(s) Of Engagement Activity 2023
 
Description CDRC Data Partner Forum 21st May 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Postgraduate students
Results and Impact Annual Data Partner Forum event hosted at the Leeds Institute for Data Analytics by CDRC-Leeds on 21st May 2019 with an invite list of >150 partner representatives from industry and the public sector. Event comprised of presentations and lightning talks delivered by researchers at the cutting edge of consumer data research into urban analytics, consumer behaviour and decision making, and health and wellbeing. Mingling sessions for industry partners to engage with researchers. Event was followed by a buffet for collaborators and partners.
Impacts:
Attendees subscribed to the training course mailing list following the event resulting in more bookings
Notable industry attendees:
? Uber, Head of North
? Sainsbury's.
Year(s) Of Engagement Activity 2019
 
Description CDRC Local Data Spaces News Post 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact This webpage highlights the work undertaken by the Local Data Spaces Team- the rationale for the work and the types of outputs generated. It is intended as an engagement source to provide a quick summary and generate interest into downloading and viewing the reports.
Year(s) Of Engagement Activity 2021
URL https://www.cdrc.ac.uk/local-data-spaces/
 
Description CDRC Research Review 2020-21 - Melinda Green (October 2021) 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact The Research Review provides an amazing overview of the CDRC's work in the last 1+years, increasing people's understanding of the Centre's work and enhancing its reputation.
Year(s) Of Engagement Activity 2021
URL https://www.cdrc.ac.uk/research-review-2021/
 
Description Cabinet Office Meeting - Mark Birkin - 16th Jan 2020 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact 120 people. Networking event with senior colleagues in Cabinet Office and Geospatial Commission including Cabinet Office Minister Oliver Dowden.
Outcomes included invitation to follow-on event, Royal Society, March 2020.
Year(s) Of Engagement Activity 2020
 
Description Carbon Footprint Calculator - Press Release (RN) 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Media (as a channel to the public)
Results and Impact CDRC issued a joint press release in collaboration with Leeds City Council and Foodwise Leeds to highlighting the development of the Carbon Footprint Calculator and adoption by Catering Leeds and Foodwise to reduce the carbon footprint of their meals. The release generated coverage in regional publications.
Year(s) Of Engagement Activity 2022
URL https://news.leeds.gov.uk/news/collaborative-effort-to-curb-leeds-food-emissions-1
 
Description Case Study featuring CDRC research with Asda in Confederation of British Industry (CBI) - May 2019 - William Young 
Form Of Engagement Activity A magazine, newsletter or online publication
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact CDRC Co-I William Young's research partnership with food retailer Asda formed the basis of this case study in the Nexus CBI report on the 'Changing Nature of R&D'. The case study looks at the benefits of academic and industry research collaboration. Nexus also produced a video about the research collaboration to minimise food waste amongst Asda shoppers.
Year(s) Of Engagement Activity 2019
URL https://www.cbi.org.uk/media/2697/innovation-rd_.pdf
 
Description Children's Food Summit (Dr Victoria Jenneson) 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Third sector organisations
Results and Impact Children's Food Campaign's first ever summit on 16 May 2023 in Leeds. This in-person event brought together leading voices from the world of children's food and the opportunity to shape future plans with other change-makers.

The programme for the event included the following highlights:

A special performance from Food Foundation youth ambassadors across Yorkshire, shedding light on their firsthand experiences of healthy food access.
Hear from Henry Dimbleby, Thomasina Miers and Christina Adane who will be discussing how we can land our ideas with policy makers in the build up to the General Election.
Hear more about the Children's Food Campaigns latest work, including our 'Say Yes' to school food for all campaign and our local food advertising toolkit.
Be part of our very first 'yummy/yucky' awards ceremony where we will be recognizing innovative local initiatives, the unshakeable political campaigners, and business baddies in our movement.
Explore subjects in more detail through our workshops on school food, early years, fiscal measures, healthy food advertising and diversity and inclusion.
Year(s) Of Engagement Activity 2023
URL https://www.sustainweb.org/events/feb23-childrens-food-summit/
 
Description Christchurch NZ workshop with GeoHealth Lab - Mark Birkin, Michelle Morris and others - 28th-29th June 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Third sector organisations
Results and Impact 12 people. Joint funding proposal to NZ Government (Catalyst scheme), not successful but seeking further opportunities for collaborative work. GeoHealth have particular expertise with Integrated Data Infrastructure (IDI) with extreme relevance to ESRC Big Data Network.
Year(s) Of Engagement Activity 2019
 
Description Clarion Data Analytics Roundtable lunch - Mark Birkin was speaker - 5th Dec 2019 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Industry/Business
Results and Impact 10-15 people. Managing Directors of leading tech companies with interest in healthcare sector, and UoL
Built awareness and promoted partner interest especially in CDRC intern programme and CDT-DAS.
Year(s) Of Engagement Activity 2019
 
Description Collaborations Reference Group, University of Leeds and Leeds City Council - Mark Birkin (Oct 2021) 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach Regional
Primary Audience Policymakers/politicians
Results and Impact Meeting of members of University of Leeds and Leeds City Council as part of the Civic Collaboration between the institutions. Mark Birkin attended in order to solidify ties with CDRC and LIDA more widely. Discussions of planned collaborative activities between the two - two LCC internships in partnership with CDRC are now at the proposal stage as a result of this collaboration.
Year(s) Of Engagement Activity 2021
 
Description College Visit (Godalming, Surrey) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach Local
Primary Audience Schools
Results and Impact Two talks on 'Introduction to Data Science', citing examples of research from the CDRC, were delivered to sixth form students (16-17 year olds) at Godalming College in Surrey. The talks were part of the college's careers activities, and the focus of the talk was to introduce data science and machine learning as potential career paths to students. The students engaged in a Q&A session and many students expressed thanks for the presentation. The college also gave positive feedback and indicated they would invite me back for future career-focused activities relating to subjects around data science, maths and computer science.
Year(s) Of Engagement Activity 2022
 
Description Conference 2022: Inside Consumer Data- Partnerships, Impact and Training Panel discussion 
Form Of Engagement Activity Participation in an open day or visit at my research institution
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact I participated in the Partnerships, Impact and Training panel session at the conference, speaking in particular about the data services and training provision fo the CDRC. The session received lots of positive feedback and engagement both in person and on social media.
Year(s) Of Engagement Activity 2022
URL https://www.cdrc.ac.uk/events/cdrc-conference-2022-inside-consumer-data/
 
Description Conference presentation (European Transport Conference) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A paper entitled "A TRANSPORT AND HEALTH POLICY TOOL UTILISING NEW GENERATION DATA" was presented at the European Transport Conference in Dublin, Ireland in October 2018. This was in a session on 'Big Data' alongside two other related papers. The session was attended by approximately 40 people (standing room only in the room), who were fully engaged in the discussion session, with a number of attendees following up individually after the session. The wider ETC event attracts around 1000 attendees from across Europe (and beyond), from consultancy, academia, and government.
Year(s) Of Engagement Activity 2018
URL https://aetransport.org/en-gb/past-etc-papers/conference-papers-2018?abstractId=5934&state=b
 
Description Conference presentation (POLIS) 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Professional Practitioners
Results and Impact A presentation to the POLIS conference in Manchester, UK in November 2018 entitled "The role of new track and trace data in supporting planning and decision making at the
interfaces of transport, health and the environment - The Newcastle city case study". Polis is a network of European cities and regions working together to develop innovative technologies and policies for local transport. The session included 8 related papers on "DATA-DRIVEN DECISION MAKING" and approximately 60 attendees who engaged in the question and answer sessions, as well as number of individuals who followed up personally following the session.