Consumer Data Research Support Service (CDRSS)

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

Abstract

This project will establish a unique Consumer Data Research Support Service (CDRSS) for the supply and provision of new forms of 'Big Data' which are emerging in consumer markets. Big Data are frequently characterised as being high in volume, variety and velocity. In other words the data are continually changing (for example traffic sensors may capture the position of individual vehicles which are rarely stationary); the data are diverse (for example relating to the demographic characteristics of people, their movement patterns, their lifestyles and attitudes, social networks); and simply large, so that for example it is possible to retain data over long time periods as computer storage has also expanded sufficiently to permit this in many situations.
Retail and consumer organisations have been leading the way in the creation and extraction of value from Big Data. For example Tesco has used data from its Clubcard scheme to profile its customers based on their shopping habits and expenditure patterns. This in turn has allowed the company to maintain a long-term competitive advantage in product development, promotion and store formatting and network development. Telecommunications providers are now processing billions of transactions each day as callers interact with mobile telephone cells and wireless devices.
The CDRSS will capitalise on the growing realisation that Big Consumer Data can provide unique insights into social science questions, for example relating to prosperity, deprivation and exclusion; physical movement and behaviour patterns; healthy living, crime, family activities and social networks. The CDRSS will:
* bring together diverse sources of consumer data for the first time within a secure environment;
* produce tools for the anonymisation, aggregation and analysis of big consumer data;
* develop flagship research projects which demonstrate the value of consumer data in research studies;
* create the means for widespread access to these data amongst academic research users;
* explore mechanisms for extending this engagement to business, government and the general public;
* make an important contribution to training and capacity-building in consumer data analytics, and in this way it will therefore have a significant positive effect on the quantitative skills gap in UK social science;
The CDRSS will interact with existing and proposed investments, for example in Administrative Data, Research Methods, and Social Media; but at the same time it will create unique resources and its own distinctive community of users.

Planned Impact

As well as the numerous academic benefits that will flow from the Centre we are confident that the research will have a wider impact on policy and practice, specifically for: policy-makers; Organisations (including business, public sector, industry associations and third sector); and the general public.

Where policy makers are concerned we will build on existing engagement activities and relationships with both national and local government to ensure that the fundamentally new knowledge derived from the Centre is made known and informs the policy agenda, policy formation and policy implementation. The outputs of the Centre will have relevance and application. Examples are in relation to the movement and mobility of people for Department of Transport, in relation to food consumption for Department of Health, in relation to drivers of consumption (e.g. ethics/sustainability, weather) for Department for Environment, Food & Rural Affairs, and in relation to consumer spending and credit for HM Treasury/Bank of England. The letter of support from Leeds and Partners indicates the level of enthusiasm of prospective partners for this type of work. As more and more data is sourced and analysts are able to make linkages and connections that are pertinent to smaller geographic areas to facilitate comparisons, this will be of interest to policy makers locally as well as national government.

Organisations that will benefit from involvement with the Centre are wide ranging and include: business (both data providers and others), public sector organisations, industry associations (e.g. British Retail Association), consumer bodies, and third sector non-profit organisations/charities. The various retail organisations will benefit because their data will be exploited as a resource in a somewhat different way to what it is currently used. Other organisations will benefit too. We aim to demonstrate that data collected about sales/customers can inform not only commercial but also social issues more generally For example, research on how consumption varies in urban and rural areas at different times of the year and in different weather conditions could inform local tourism strategies but also open up new commercial opportunities for businesses. Visitor patterns for a particular shopping area (e.g. the new Trinity shopping centre in Leeds which has been mapped by the PI and colleagues from mobile phone data) has commercial implications for the Trinity retailers and shopping centre managers as well as operational implications for local town centre managers and planners and public services (e.g. police, transport). As well as providing businesses with the opportunity to expand their Corporate Social Responsibility aims, the Centre will play a significant role in building capacity in analytics and big data analysis that will benefit both businesses and public sector organisations (see details below). There is also potential for the Centre to preserve legacy data from retail organisations that would otherwise be lost.

Lastly, are benefits for the public and communities more generally. Public understanding and support for the big data initiative is essential and the Centre will work with partners in the ESRC Big Data Network to support this aim and allay fears that may arise. This will involve a two-way communication process where information about the work of the Centre and the benefits derived from it is clearly communicated to the public and there is also wide opportunity for public feedback and consultation. By demonstrating how the data is used in aggregate, anonymised form and is capable of benefitting communities in new ways we expect broad interest and support.

Organisations

Publications

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Young W (2013) Changing Behaviour: Successful Environmental Programmes in the Workplace in Business Strategy and the Environment

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Gal-Tzur A (2014) The Impact of Social Media Usage on Transport Policy: Issues, Challenges and Recommendations in Procedia - Social and Behavioral Sciences

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Lu C (2014) Indirect Reinforcement Learning for Incident-responsive Ramp Control in Procedia - Social and Behavioral Sciences

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Morris MA (2014) What is the cost of a healthy diet? Using diet data from the UK Women's Cohort Study. in Journal of epidemiology and community health

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Long T (2014) The impact of domestic energy efficiency retrofit schemes on householder attitudes and behaviours in Journal of Environmental Planning and Management

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Jordan R (2014) An agent-based model of residential mobility in Computers, Environment and Urban Systems

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El-Rashidy R (2014) An assessment method for highway network vulnerability in Journal of Transport Geography

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Stillwell J (2014) The IMAGE Studio: A Tool for Internal Migration Analysis and Modelling in Applied Spatial Analysis and Policy

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Grant-Muller S (2014) Editorial in Proceedings of the Institution of Civil Engineers - Transport

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Heppenstall A (2014) Handbook of Regional Science

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Birkin M (2014) An Examination of Personal Mobility Patterns in Space and Time Using Twitter in International Journal of Agricultural and Environmental Information Systems

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Andresen M (2014) Police Foot Patrol and Crime Displacement A Local Analysis in Journal of Contemporary Criminal Justice

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Grant-Muller S (2014) Intelligent Transport Systems: The propensity for environmental and economic benefits in Technological Forecasting and Social Change

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Zeriti A (2014) Sustainable Export Marketing Strategy Fit and Performance in Journal of International Marketing

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Marsden R (2015) A Web Based Information System for Planning Support in Barnsley in Applied Spatial Analysis and Policy

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Morrissey K (2015) Mental Illness in Ireland: Simulating its Geographical Prevalence and the Role of Access to Services in Environment and Planning B: Planning and Design

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Leonidou C (2015) Gray Shades of Green: Causes and Consequences of Green Skepticism in Journal of Business Ethics

 
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

Creative Economy

Digital/Communication/Information Technologies (including Software)

Energy

Environment

Financial Services

and Management Consultancy

Healthcare

Leisure Activities

including Sports

Recreation and Tourism

Government

Democracy and Justice

Culture

Heritage

Museums and Collections

Retail

Transport

URL http://www.cdrc.ac.uk
 
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,Financial Services, and Management Consultancy,Healthcare,Leisure Activities, including Sports, Recreation and Tourism,Government, Democracy and Justice,Retail,Transport
Impact Types Societal

Economic

Policy & public services

 
Description A roundtable for the G7: safe data access and use for health emergencies (Mark Birkin)
Geographic Reach Multiple continents/international 
Policy Influence Type Participation in a guidance/advisory committee
 
Description Advanced R for spatial data analysis Training Short Course - May
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Advances in Poverty Modelling using Microsimulation, Joseph Rowntree Foundation
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact ...
 
Description Advisor to Defra
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
Impact Defra want to improve UK resilience of the food system from low probability/high impact risks, by intelligently identifying key Emerging Technology for enhanced anticipation, preparedness, prevention, and/or mitigation. These consultations are leading to policy changes on food and agriculture.
URL https://www.gov.uk/government/organisations/department-for-environment-food-rural-affairs
 
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 Advisor to UNEP
Geographic Reach Multiple continents/international 
Policy Influence Type Participation in a guidance/advisory committee
Impact Changes to the assessment of environmental project funding proposals at the UNEP Global Environment Facility of $$ Billion. GEF funds programmes to full-sized projects, medium-sized projects and enabling activities, UNEP works across all Global Environment Facility focal areas, with dedicated GEF technical teams in Biodiversity, Capacity Development, Climate Change Adaptation, Climate Change Mitigation, Chemicals & Waste, International Waters and Land Degradation.
URL https://www.stapgef.org/
 
Description An Introduction to ArcGIS Training Short Course - 23rd-24th Jan
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description An Introduction to GIS Using ArcGIS (Vector) Training Short Course - 15th Feb
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description An Introduction to Small Area Classification Training Short Course -12th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description ArcGIS for Transport Training Short Course - 11th-12th May
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description ArcGIS for Transport Training Short Course - 21st-22nd Jan
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description ArcGIS for Transport Training Short Course - 23rd-24th Jan
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Associating food environments with obesity?
Geographic Reach National 
Policy Influence Type Implementation circular/rapid advice/letter to e.g. Ministry of Health
URL https://www.tcpa.org.uk/Handlers/Download.ashx?IDMF=f5e87fe2-c146-48b6-8a67-c7426fd77e4d
 
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
 
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 Big Data and Predictive Analytics for Social Science - 21st May
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Big Data and Predictive Analytics for Social Science Research Training Short Course - 20th June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Building Simple Smartphone Application without coding - 19th April
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Building Simple Smartphone Applications without coding - 23rd April
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description CDRC Data Partner Forum - Poster Presentation
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact The CDRC Data Partner Forum was designed for existing and potential data partners and interested academics to engage with current and future consumer data research initiatives through the ESRC's Consumer Data Research Centre. The day was led by Professors Mark Birkin, Paul Longley and Jonathan Reynolds. The Poster Presentation session was to engage the existing and potential data partners on the projects being fulfilled at the different CDRC nationwide centers. The poster I presented was titled Infilling Missing Values in Consumer Big Data.
URL https://www.cdrc.ac.uk/events/datapartnerforum/
 
Description CDRC Engagement Event - Poster Presentation
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
Impact The poster presentation was part of the CDRC introductory events. The aim was to engage with and introduce other CDRC centers that are co-sponsored by the ESRC. The poster presentation session was to enable members of the public to engage with CDRC to understand the range of data solutions and projects planned in the CDRC. During the poster presentation I engaged with members of the public as part of an enlightenment exercise about the importance of CDRC as a data provider for research and the essence of the projects, specifically the urban mobility and movement patterns project.
URL https://www.cdrc.ac.uk/
 
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 Data Analytics:Opportunities and Challenges for UK and US Research - Report of the UK-US Data Analytics Workshop
Geographic Reach Multiple continents/international 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Daytime Population Movements Training Short Course - 5th June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
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 EDIF Steering Group, Department for Transport, Urban Observatories, Alan Turing Institute - Mark Birkin
Geographic Reach National 
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 Explaining Trump and Brexit using Tidy Data Graphics Training Short Course
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
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 GIS for Crime Data Analytics - 19th October 2018
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/gis-for-crime-data-analytics/
 
Description GIS for Social Sciences (Raster) - 19th-20th May
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description GIS for Transport Applications Training Short Course - 14th April
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description GIS for Transport Studies Training Short Course (April 7th-8th)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description GIS for Transport Training Short Course (14th-15th April)
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
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 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 and the basics of R as a GIS Training Short Course - May
Geographic Reach Local/Municipal/Regional 
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 Short Course - 17th-18th June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to ArcGIS Training Short Course - 19th March
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to ArcGIS Training Short Course - 1st-2nd Feb
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to ArcGIS Training Short Course - 2nd-3rd June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
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 Basics in Smartphone Application Development for Data Collection Purposes Training short Course - 15th Dec
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
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 Forecasting in R Training Short Course - 6th Nov
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to GIS and Spatial Analysis for Retail Applications - 15th October 2018
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-gis-and-spatial-analysis-for-retail-applications/
 
Description Introduction to GIS for Social Scientists Training Short Course - 15th Dec
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to Python for Data Analytics - 1st-2nd November 2018
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/python-for-spatial-analytics/
 
Description Introduction to Python training - 10th May 2018
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-python/
 
Description Introduction to QGIS - 29th October 2018
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/introduction-to-qgis-3/
 
Description Introduction to QGIS Training Short Course - 17th-18th March
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS Training Short Course - 30th Nov
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to QGIS Training Short Course - 3rd-4th Oct
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 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 - 3rd December 2018
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/programming-short-course-in-r/
 
Description Introduction to R Training Short Course - 15th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R Training Short Course - 16th April
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R Training Short Course - 16th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R Training Short Course - 3rd April
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 and Rstudio Training Short Course - 25th Jan
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to R for Spatial Data Analysis Training Short Course - 26th Jan
Geographic Reach Local/Municipal/Regional 
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 with data pre-processing and visualisation Training Short Course - 7th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to Spatial Microsimulation Using R Training Short Course - 28th-29th May
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to Spatial Microsimulation using R Training Short Course - 18th-19th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to Spatial Microsimulation using R Training Short Course - 8th-9th May
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to Spatial analysis for public health researchers Training Short Course - 17th Feb
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introduction to Spatial analysis for public health researchers Training Short Course - 20th Oct
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introductory R for Spatial Analysis - 12th June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introductory R for Spatial Analysis Training Short Course - 10th Nov
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Introductory R for Spatial Analysis Training Short Course - 16th March
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Investigating Domestic Energy Efficiency Data (InDEED) Innovation Fund Project: - EPC error identification results submitted to staff in Welsh government responsible for monitoring the EPCs of housing stock.
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
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 Mark Birkin and Michelle Morris spoke at workshop on obesity at the Scottish Parliament 30th October 2017
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description Mark Birkin, Michelle Morris and Paul Gately spoke at Parliamentary workshop on childhood obesity, 29th June 2017
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 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 Molly Asher - 2016/17 Intern project assessing the effectiveness of the e-petition procedure through Twitter conversations with House of Commons
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
Description Networking event with senior colleagues in Cabinet Office and Geospatial Commission - Mark Birkin - 16th Jan 2020
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
 
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 Safe Researcher Expert Group
Geographic Reach National 
Policy Influence Type Contribution to new or improved professional practice
 
Description Participation in a consultation on Vulnerable Communities with Government Office for Science - Mark Birkin
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
Impact CDRC Director Mark Birkin joined the Government Office for Science and the British Academy for a round table on factors affecting the prevalence of Covid-19 in different communities. The aim was to help identify and suggest ways to further understand and mitigate risks to vulnerable populations. Prof Birkin provided expert input on the following areas: 1. What does research tell us about the factors affecting vulnerable populations? 2. What do we know, and what don't we know about which populations and why? 3. How do we fill gaps in knowledge and why is it important for policymaking? 4. How do we turn data into evidence for policy making?
 
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 R for Big Data Training Short Course - 17th-18th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description R for Spatial Analysis Training Short Course - 6th Oct
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description R for Transport Applications: Exploring Big Data in a Spatial World - 26th-27th April
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description R for Transport Applications: Handling Big Data in Spatial World Training Short Course - 26th-27th April
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description RAMP Rapid Review Group - Mark Birkin
Geographic Reach National 
Policy Influence Type Participation in a guidance/advisory committee
Impact Birkin has contributed to the 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.
 
Description Research Mentioned 3 times in a Parliamentary Debate in the House of Commons
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
Impact The impacts are described by Roger Geffen, Policy Director of the CTC, below: "Robin, James Just so say a huge thank you once again for an excellent and really timely piece of work. Just checking that you've seen that The Times referred to your work, both in a news article and in an editorial: http://www.thetimes.co.uk/tto/public/cyclesafety/article4238059.ece and http://www.thetimes.co.uk/tto/public/cyclesafety/article4237832.ece? It also got mentions in the debate speeches by Ian Austin, Ben Bradshaw and Julian Huppert: http://www.parliament.uk/business/publications/hansard/commons/todays- commons-debates/read/unknown/466/ So, really well done - and I owe you a serious thank-you at some point! Be in touch. Roger"
URL https://theconversation.com/hint-of-proper-funding-for-cycling-but-we-must-fight-for-it-with-evidenc...
 
Description Research that helped to force the government's hand to pass the Cycling and Walking Infrastructure Strategy (CWIS)
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
Impact This research was instrumental in the passage of the CWIS amendment to the Infrastructure Bill through the House of Commons: "On the eve of Monday 26 January cycling in the UK reached a turning point, as a Cycling and Walking Investment Strategy was voted into the Infrastructure Bill by the House of Commons. The vote came less than a week after CTC unveiled new research by Leeds University showing that, if England were to meet the targets for increased cycle use by 2050 as proposed in the parliamentary 'Get Britain Cycling' report, this would yield economic benefits worth £248bn between now and then. The Get Britain Cycling report proposed raising cycle use from 2% of trips at present, to 10% (below German levels) by 2025 and to 25% (nearly Dutch levels) by 2050." The report mentioned was written by myself and Fiona Crawford (Institute for Transport Studies). Source: http://www.ctc.org.uk/news/20150128-cycling-walking-investment-strategy-agreed
URL http://www.ctc.org.uk/news/20150128-cycling-walking-investment-strategy-agreed
 
Description Response to the National Food Strategy
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL https://policyhub.n8agrifood.ac.uk/wp-content/uploads/2021/11/NFS-Food-Systems-Policy-Hub-Response.p...
 
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 Small Area Geodemographics Training Short Course - 6th June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Spatial Analytics for Public Health Researchers - 24th Oct
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Spatial Modelling for Retail Analytics - 28th January 2019
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/spatial-modelling-for-retail-analytics/
 
Description Statistical Methods for Geographers and Social Scientists Training Short Course - 16th Dec
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Summer School - Causal Inference with observational data; challenges and pitfalls - 9th-13th July 2018
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
URL https://www.cdrc.ac.uk/events/summer-school-causal-inference-with-observational-data-challenges-and-...
 
Description Summer School in Spatial Modelling - 21st-27th July
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Summer School on Spatial Modelling - 3rd-10th Sept
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Summer School: Advanced Modelling Strategies: challenges and pitfalls in robust causal inference with observational data - 17th-20th July
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
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 Workshop Training Short Course - 22nd Feb
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Tableau Workshop Training Short Course - 8th Feb
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description The University of Leeds, EU EMPOWER project and ESRC HABITS project hosted a workshop with Cabinet Office on:New and Emerging Data Forms - Ethical Guidance (11th December 2017)
Geographic Reach National 
Policy Influence Type Contribution to a national consultation/review
URL http://empowerproject.eu/articles/workshop-new-emerging-data-forms-ethical-guidance
 
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 (10 attendees) June 2023
Geographic Reach National 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Using Quantum GIS Training Short Course - 19th-20th June
Geographic Reach Local/Municipal/Regional 
Policy Influence Type Influenced training of practitioners or researchers
 
Description Which? Consumers in Northern Ireland - A food briefing
Geographic Reach National 
Policy Influence Type Citation in other policy documents
 
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 Additional capital funding
Amount £77,000 (GBP)
Funding ID ES/L011891/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 01/2016 
End 03/2016
 
Description Alan Turing Institute - Fellows and Turing sponsored projects
Amount £399,768 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 03/2019 
End 03/2021
 
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 BRIDGE (University of Birmingham)
Amount £13,000 (GBP)
Organisation University of Birmingham 
Sector Academic/University
Country United Kingdom
Start 07/2018 
End 07/2019
 
Description Bringing the Social City to the Smart City
Amount £232,909 (GBP)
Funding ID ES/R007918/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 06/2018 
End 06/2021
 
Description CDRC
Amount £1,261,204 (GBP)
Funding ID ES/S007164/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 02/2019 
End 02/2024
 
Description CRUK Programme
Amount £3,400,000 (GBP)
Funding ID 107888 
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2017 
End 03/2022
 
Description Catch! Citizens at the City's Heart
Amount £1,150,000 (GBP)
Funding ID 102426 
Organisation Innovate UK 
Sector Public
Country United Kingdom
Start  
 
Description Centre for Doctoral Training in New Forms of Data
Amount £2,011,000 (GBP)
Funding ID ES/P000401/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 09/2017 
End 09/2023
 
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 Colorectal Cancer Intelligence Network
Amount £3,400,000 (GBP)
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start  
 
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 Consumer Data Research Support Service (CDRSS)
Amount £8,827,316 (GBP)
Funding ID ES/L011891/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 02/2014 
End 02/2025
 
Description Creating a UK Colorectal Cancer Intelligence Hub - Supported by the Bobby Moore Fund
Amount £3,207,986 (GBP)
Funding ID 23706 
Organisation Cancer Research UK 
Sector Charity/Non Profit
Country United Kingdom
Start 03/2017 
End 03/2025
 
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 Data Analytics and Society CDT Industrial Strategy 2017
Amount £344,368 (GBP)
Funding ID ES/R501062/1 
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 09/2017 
End 09/2021
 
Description DataStream: Centre for Doctoral Training in New Forms of Data
Amount £2,200,000 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start  
 
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 Collaborative studentship
Amount £28,161 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 09/2016 
End 09/2019
 
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 ESRC Industrial Strategy PhD studentships within the Data Analytics and Society Centre for Doctoral Training
Amount £80,000 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 09/2017 
End 09/2021
 
Description ESRC Industrial Strategy PhD studentships within the Data Analytics and Society Centre for Doctoral Training
Amount £80,000 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 09/2017 
End 09/2021
 
Description ESRC Strategic Network
Amount £93,376 (GBP)
Organisation Economic and Social Research Council 
Department ESRC Seminar Series
Sector Academic/University
Country United Kingdom
Start 11/2015 
End 10/2016
 
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 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 H2020 research and innovation action
Amount € 4,898,621 (EUR)
Funding ID 636249 - EMPOWER 
Organisation European Commission 
Department Horizon 2020
Sector Public
Country European Union (EU)
Start 04/2015 
End 04/2018
 
Description Health and Sustainability Diets Project
Amount £72,477 (GBP)
Organisation Institute of Grocery Distribution 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2021 
End 12/2021
 
Description Healthy and Sustainable Diets
Amount £137,000 (GBP)
Organisation Institute of Grocery Distribution 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2022 
End 12/2022
 
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 IGD Healthy and Sustainable Diets programme evaluation
Amount £72,500 (GBP)
Organisation Institute of Grocery Distribution 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2021 
End 12/2021
 
Description Knowledge Exchange Fellowship
Amount £10,877 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 03/2017 
End 03/2018
 
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 Misinformation vulnerabilities among the elderly during infectious disease outbreaks.
Amount $49,614 (USD)
Organisation Facebook 
Sector Private
Country United States
Start 02/2019 
End 03/2021
 
Description Mistral: Multi-scale Infrastructure Transitions Analytics
Amount £5,350,000 (GBP)
Funding ID EP/N017064/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start  
 
Description Network Studentship
Amount £170,745 (GBP)
Organisation Economic and Social Research Council 
Sector Public
Country United Kingdom
Start 09/2015 
End 09/2018
 
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 PigSustain: Intensification of the UK Pig Industry
Amount £2,000,000 (GBP)
Funding ID BB/N020790/1 
Organisation Biotechnology and Biological Sciences Research Council (BBSRC) 
Sector Public
Country United Kingdom
Start 01/2017 
 
Description Probiotics-related consumer confidence and labelling effects in ASEAN
Amount $10,000 (USD)
Organisation Nutrition and Food Experts Society of Indonesia 
Sector Public
Country Indonesia
Start 07/2020 
End 02/2021
 
Description Provision of Research Programme into Cycling: Propensity to Cycle ref: RM5019 SO7766 Phase 2
Amount £59,657 (GBP)
Organisation Department of Transport 
Sector Public
Country United Kingdom
Start 02/2016 
End 03/2017
 
Description Q-Step
Amount £718,980 (GBP)
Organisation Nuffield Foundation 
Sector Charity/Non Profit
Country United Kingdom
Start 08/2014 
End 08/2018
 
Description Quanticode: Quantitative Encoding of Longitudinal Data
Amount £980,000 (GBP)
Funding ID EP/N013980/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start  
 
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 Responsive mode impact fund
Amount £12,853 (GBP)
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 03/2017 
End 03/2018
 
Description SPENSER - Synthetic Population Estimation and Scenario Projection Model
Amount £464,632 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 09/2018 
End 09/2020
 
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 Starting Grant
Amount € 1,500,000 (EUR)
Funding ID 757455 
Organisation European Research Council (ERC) 
Sector Public
Country Belgium
Start 01/2018 
End 12/2022
 
Description Swedish Riksbankens Jubileumsfond
Amount £2,679,221 (GBP)
Funding ID Science and Proven Experience 
Organisation Bank of Sweden Tercentenary Foundation 
Sector Charity/Non Profit
Country Sweden
Start 01/2015 
End 12/2020
 
Description System-science Informed Public Health and Economic Research for Non-communicable Disease Prevention (the SIPHER Consortium)
Amount £6,926,748 (GBP)
Funding ID MR/S037578/1 
Organisation Medical Research Council (MRC) 
Sector Public
Country United Kingdom
Start 05/2019 
End 07/2024
 
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 Alan Turing Institute - Urban Analytics Programme
Amount £8,000,000 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 11/2018 
 
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 The Role of Big Data in Addressing the Determinants of Non-communicable Diseases in the Ageing Era
Amount £6,000 (GBP)
Organisation Worldwide Universities Network 
Sector Academic/University
Country United Kingdom
Start 12/2017 
End 11/2019
 
Description Transformative Routemapping for Urban Environments (TRUE)
Amount £400,000 (GBP)
Funding ID EP/P001785/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start  
 
Description Transforming Urban Simulation Methods through Real-Time Data Assimilation
Amount £105,351 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 03/2019 
End 10/2019
 
Description Turing fellowship
Amount £10,000 (GBP)
Organisation Alan Turing Institute 
Sector Academic/University
Country United Kingdom
Start 01/2019 
End 12/2020
 
Description UK Data Service Data Impact Fellowship Scheme
Amount £2,000 (GBP)
Organisation UK Data Service 
Sector Academic/University
Country United Kingdom
Start 12/2016 
End 12/2018
 
Description Understanding bowel cancer in people aged less than 50 years - investigating changes to the microbiome
Amount £25,000 (GBP)
Funding ID 18PT0011 
Organisation Bowel Cancer UK 
Sector Charity/Non Profit
Country United Kingdom
Start 11/2018 
End 05/2022
 
Description Understanding health-related misinformation and conflicting Information on social media through public engagement and big data analytics.
Amount £5,500 (GBP)
Organisation CHERISH-de escalator fund 
Sector Academic/University
Country United Kingdom
Start 02/2019 
End 05/2020
 
Description University of Birmingham Impact Acceleration Account
Amount £13,000 (GBP)
Organisation University of Birmingham 
Sector Academic/University
Country United Kingdom
Start 12/2018 
End 06/2019
 
Description University of Leeds Seed Corn Funding for social Science/STEM Collaborations
Amount £2,000 (GBP)
Organisation University of Leeds 
Sector Academic/University
Country United Kingdom
Start 01/2014 
End 12/2014
 
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 Wellcome Trust Institutional Strategic Support Fund Fellowship
Amount £20,846 (GBP)
Organisation Wellcome Trust 
Sector Charity/Non Profit
Country United Kingdom
Start 01/2016 
End 06/2016
 
Description Worldwide Universities Network Research Development Fund
Amount £6,000 (GBP)
Organisation Worldwide Universities Network 
Sector Academic/University
Country United Kingdom
Start 12/2017 
End 06/2019
 
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 Cycling Infrastructure Prioritisation Toolkit (CyIPT) 
Description The Cycling Infrastructure Prioritisation Toolkit, is a prototype developed by the University of Leeds and funded by the Department of Transport. The purpose of the toolkit is to aid decision makers in finding the best places to put new cycle infrastructure. CyIPT uses data about the existing road network, such as speed limits, road types and traffic levels combined with information about cycling levels to recommend the most appropriate type of cycle infrastructure on each road in England. CyIPT then attempts to group its recommendations into buildable schemes, and evaluate those schemes by estimating: Construction costs Increase in number of cyclists Benefits from increased cycling Benefit cost ratios 
Type Of Material Improvements to research infrastructure 
Year Produced 2018 
Provided To Others? Yes  
Impact Partnerships with Cycle Streets.net and Department for Transport, leading to projects in the Centre for Doctoral Training in Data Analytics and Society (e.g. Caroline Tait's project with Dr Roger Beecham, Towards data-driven policy development: the case of London's built cycling infrastructure in collaboration with Cycle Streets). 
URL https://www.cyipt.bike/
 
Title Ethical guidance on new and emerging data forms 
Description Guidelines for a range of stakeholders on the ethics of handling new and emerging data forms in transport. The guidelines were developed jointly with the EMPOWER project and form the basis for a joint workshop with the cabinet office. 
Type Of Material Improvements to research infrastructure 
Year Produced 2017 
Provided To Others? Yes  
Impact The guidelines formed a basis for a training workshop with a range of city stakeholders from the UK and Europe. The participating stakeholders reported that they had adjusted their written policies and consent forms and also amended their internal data handling procedures. 
URL https://empowertoolkit.eu/ethics/
 
Title National Propensity to Cycle Tool (NPCT) 
Description Method and software to identify where active travel has the most potential to grow, to inform new infrastructure at the local level. Funded by the Department for Transport, the tool has potentially global impacts. 
Type Of Material Improvements to research infrastructure 
Year Produced 2015 
Provided To Others? Yes  
Impact Requests to do contract work for Surrey and Hackney Councils; requests to demonstrate the work at Leeds City Council. 
URL https://github.com/npct/pct
 
Title Nutrient Profile Model Calculator 
Description The CDRC have developed an online calculator which facilitates easy calculation of the UK's Nutrient Profile Model (NPM) for use in research, policy making and implementation. In particular, it supports assessment of food and beverage products under the new UK Government restrictions around in-store and online product placements for HFSS (High in Fat, Sugar or Salt) products. 
Type Of Material Improvements to research infrastructure 
Year Produced 2022 
Provided To Others? Yes  
Impact The NPM calculator has been accessed hundreds of times to date. It has been shared on the Chartered Institute for Trading Standards Officers Knowledge Hub and improving the efficiency of the way the assess compliance with UK Government legislation around HFSS product placement in store. It has also been shared by the Obesity Health Alliance on twitter, who flagged it as a useful tool to their followers. The existence of the NPM online calculator directly led to the receipt of further funding (£95,000 for the MAAP project) to work with Leeds City Council to map outdoor food advertising across Leeds. The work won a £1000 Engaged for Impact Award prize from the University, which has been re-invested back into the tool to further develop its capacity for multiple product assessment which will bring about greater benefits for the research and policy communities. 
URL https://npmcalculator.cdrc.ac.uk/
 
Title Active Inspiration 
Description The dataset comprises primarily the activity data, which includes activity episodes recorded in the app or from fitness trackers and comprises pseudonymised data at the user level. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact CDRC has received 2 research applications to use this data set. 
URL https://data.cdrc.ac.uk/dataset/active-inspiration-activity-data
 
Title Acxiom 
Description Data includes average income and household information including age, tenure and household size in each geographical area 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact CDRC has received 9 research applications to use this data set 
URL https://data.cdrc.ac.uk/dataset/acxiom-small-area-income-data
 
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 
Description The dataset includes (from the years 2012-2018): Total historical data (monthly and daily listing performance) for London, UK and Leeds, UK Total host data for London, UK and Leeds, UK Property data for London, UK and Leeds, UK Total review data for London, UK and Leeds, UK 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact CDRC has received 5 research applications to access this dataset. 
URL https://data.cdrc.ac.uk/dataset/airdna-property-rentals-and-reviews
 
Title Bike Citizens 
Description Anonymised cyclist movement data in GPX format by users of the "Bike Citizens" app in London. 100 metres from the start and end of each route have been cut to provide anonymisation. The Bike Citizens app uses the know-how of bike couriers. The bike app is specifically designed for the needs of cyclists in cities. It favours cycle paths and side streets and avoids busy main streets. Data are provided in a GPX track file containing latitude, longitude, elevation and horizontal dilution of precision at multiple points along the track. The distance covered and the duration are provided for each track. 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact CDRC has received 3 research applications to use this data set. 
URL https://data.cdrc.ac.uk/dataset/bike-citizens-cyclist-movement-data
 
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 Call Credit 
Description A wide range of consumer postcode classifications. These segmentation systems are supplied under license and are delivered as postcode directories. For each system, each postcode in the country has a classification code attached. These postcode labels can be used to segment, code and profile customer files for analysing the characteristics of customers and responders. The CAMEO Analysis Suite provides the six CAMEO Classifications with a wealth of expanded data variables provided as postcode indicators for analysing and segmenting customer databases. These datasets include: ? CAMEO UK Analysis providing additional data on demographics, household composition, lifestage, economic activity and tenure. ? CAMEO Financial Analysis providing data on county court judgement activity. ? CAMEO Income Analysis providing additional data on directors, millionaires, social class, occupation, presence of mortgage and house size. ? CAMEO Investor Analysis providing additional data on shareholdings in terms of shares held, value of shares and number of companies invested in. ? CAMEO Unemployment Analysis providing additional data on economic inactivity. ? CAMEO Property Analysis providing additional data on house age, household density, council tax band, location and housing type. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact CDRC has received 4 research applications to use these data sets 
URL https://data.cdrc.ac.uk/product/cameo-postcode-directories
 
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 Confidence in Probiotics Products in ASEAN 
Description Survey data from a representative sample of N=1000 consumers across five countries in the ASEAN region (Malaysia, Philippines, Thailand, Vietnam, Indonesia) who responded to questions surrounding probiotics consumption behaviours, information exposure to probiotics (channels and content), trust in different types of probiotics stakeholders, psychological motivators related to functional foods, beliefs in health claims, and an online survey experiment. 
Type Of Material Database/Collection of data 
Year Produced 2020 
Provided To Others? No  
Impact Data from this dataset is currently being organised and will inform the development of a research paper and a future research grant surrounding the larger issue of conflicting nutritional information. 
 
Title Consumer Confidence in Probiotics Products in Singapore 
Description Survey data from a representative sample of N=400 Singapore consumers who responded to questions surrounding probiotics consumption behaviours, information exposure to probiotics (channels and content), trust in different types of probiotics stakeholders, psychological motivators related to functional foods, beliefs in health claims, and an online survey experiment. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? No  
Impact Data from this dataset is currently being organised and will inform the development of a research paper and a future research grant surrounding the larger issue of conflicting nutritional information. 
 
Title Consumer Confidence in Probiotics Products in the UK 
Description Survey data from a representative sample of N=2000 UK consumers who responded to questions surrounding probiotics consumption behaviours, information exposure to probiotics (channels and content), trust in different types of probiotics stakeholders, psychological motivators related to functional foods, beliefs in health claims, and an online survey experiment. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? No  
Impact A research paper from this dataset is now under review at a top tier food journal and has informed the development of a future grant focused on the problem of conflicting nutritional information. 
 
Title Consumer Confidence in Probiotics Products in the USA 
Description Survey data from a representative sample of N=1000 UK consumers who responded to questions surrounding probiotics consumption behaviours, information exposure to probiotics (channels and content), trust in different types of probiotics stakeholders, psychological motivators related to functional foods, beliefs in health claims, and an online survey experiment. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? No  
Impact Data from this dataset is currently being organised and will inform the development of a research paper and a future research grant surrounding the larger issue of conflicting nutritional information. 
 
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 CycleInfraLnd R package - Robin Lovelace - 2019 
Description CDRC Co-I Robin Lovelace (first grant) released the CycleInfraLnd R package with his CDT student: https://github.com/PublicHealthDataGeek/CycleInfraLnd. The goal of this CycleInfraLnd R package is to download data from the Transport for London Cycling Infrastructure Database and import it into R as spatial data (Simple features). The Cycling Infrastructure Database contains the following assets that are either lines(l) or points(p): Advanced Stop Line (l) Crossing (l) Cycle lane/track (l) Restricted Route (l) Cycle Parking (p) Restricted Point (p) Signage (p) Signal (p) Traffic Calming (p) More information on the CID can be found here and in this TFL blog. The Database Schema, Asset Information Guide and README provide important and useful information about the content of the database and how it was collected. 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact No known impacts yet. 
URL https://github.com/PublicHealthDataGeek/CycleInfraLnd
 
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 EPC error database 
Description This EPC database is an open database describing building characteristics and energy efficiency for homes in the the UK. This version of the database includes flags for EPC entries that are likely incorrect. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? No  
Impact The database was only recently created, but is expected to create considerable impact when published. 
 
Title Ethical Consumer Research Association (ECRA) 
Description 15 data sets - The Ethical Consumer Markets Report has been produced annually by Ethical Consumer (ECRA) since 1999 and aims to provide a barometer on ethical spending in the UK. This is the report for 2001, and is published in partnership between the ESRC Consumer Data Research Centre and ECRA. 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
Impact
URL https://data.cdrc.ac.uk/product/ethical-consumer-markets-report-uk
 
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 GeoUniq 
Description GeoUniq is a location analytics company which leverages mobile apps as a data source. Thanks to their location Software Development Kit (SDK), they collect more than 100 positions/device/day, in real-time. They can then use collected positions for doing three kinds of analysis: Geo-Behavioural user profiling POI audience analysis Pattern analysis GeoUniq's analyses are being used by customers from several industries, such as retail, real-estate, out-of-home advertising, banks and insurance etc. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact na 
URL https://data.cdrc.ac.uk/dataset/geouniq-location-data-series
 
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 Geoindex based on the JISC UK Web Domain Dataset 
Description This is the expansion of the Geoindex data that the British Library has initially constructed for the 1996-2010 period. The British Library has now expanded these data to the 2011-2013 period for the needs of our project. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact This is the very beginning of our project, so no notable impacts can be identified yet. 
URL http://www.webarchive.org.uk/datasets/ukwa.ds.2/geo/2011-201304/
 
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 Heart Research UK 
Description Heart Research UK conduct employee health surveys for companies that wish to support their staff in adopting healthy lifestyles. The de-identified data from these surveys is available through collaboration between the CDRC and HRUK. The dataset contains the below listed items collected from 5,951 people from 109 organisations, between 2007 and 2015 
Type Of Material Database/Collection of data 
Year Produced 2015 
Provided To Others? Yes  
Impact CDRC has received 2 research application to use this data set 
URL https://data.cdrc.ac.uk/dataset/hruk-staff-health-survey-data
 
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. The dataset is comprised of hourly footfall counts and has been cleaned according to the needs of the research project for which they were gathered. Variables for British Retail Consortium (BRC) weeks and months are also present. Data are provided (as of 30th April 2021) in respect of: 10 locations identified by name. Further details can be gained by contacting Leeds City Council. The date and hour of each record Counts of hourly footfall generated by the cameras and cleaned of duplicates Filename of the csv file made available by Leeds City Council British Retail Consortium (BRC) week number, month number, month name and year The raw data for the study is generated independently by Leeds City Council and available for public use. Whilst it is already used commercially to show footfall trends in the city centre, it has featured in several pieces of novel research investigating suitability for representing the ambient (daytime) population. The project that generated the current version of the aggregated dataset focused on use modelling how changes in COVID-19 lockdown policies impacted footfall and predicting what 'business as usual' may have looked like. The locations with a full set of 104904 records (hours) are: Albion Street South, Briggate, Briggate at McDonalds, Commercial Street Combined, Dortmund Square and headrow. The data has been filtered to start in August 2008, which is when 7 cameras were fully operational - the 6 above and Albion Street North, which only has 83398 records due to missing data. The other cameras, which came online later, are Albion Street at McDonalds (2184 records), Commercial Street at Barratts (76368) and Park Row (2184). Some files were either missing data or structured in such a way that made it difficult to automate aggregation. These were omitted and are classed as missing, despite data being present. There are 793,558 records in total. 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact Further projects in collaboration with Leeds City Council on ambient infrastructure. 
URL https://data.cdrc.ac.uk/dataset/leeds-city-council-footfall-camera-aggregated-data
 
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 MOESM1 of Classification of Westminster Parliamentary constituencies using e-petition data 
Description R Workspace. (zip) 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM1_of_Classification_of_Westminster_Parliam...
 
Title MOESM1 of Classification of Westminster Parliamentary constituencies using e-petition data 
Description R Workspace. (zip) 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/MOESM1_of_Classification_of_Westminster_Parliam...
 
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. The coordinates of each site are available in the 'LocationData.csv' file. Footfall counts were collected at two sites per day and three data collectors were located at each site. Data collectors were replaced during breaks to ensure continuity. The aim of the project was to capture manual counts of pedestrians to: Validate estimates of the ambient populations produced using a statistical model in three geographic areas within the Metropolitan Borough of Leeds, UK: Headingley, Wetherby and Leeds city centre. Validate the accuracy of footfall camera data captured in Leeds city centre. The accompanying dataset consists of 24 files providing manual footfall counts at ten locations. Each file contains the collection date and a timestamp, with each timestamp representing one count/one pedestrian. For each location, the files are numbered 1 to 3, representing the three data collectors. Due to data collection issues, timestamped data for the 5th of July 2021 at Bond Street and Vicar Lane are not available; however, the total counts recorded by each data collector at these locations are included in the dataset. Counting application Counts were logged using the iOS application Counter+ which is available free of charge via the App Store. The application allows counts to be logged with an associated timestamp, enabling the data to be used in temporal analysis. The data can be exported from the application as a .txt file for further analysis. The application stores a maximum of 1000 records, thus the data must be exported prior to reaching over 1000 counts to avoid data loss. Counting methodology Data collectors were recruited from the student body at the University of Leeds. The data collectors were instructed to count all pedestrians who were not cycling, skateboarding, scootering, or using any form of transport. Individuals using motorised mobility aids were counted. All children were counted including those in pushchairs or being carried. Data collectors were located in positions which did not impede the flow of pedestrians and allowed them to have an uninterrupted view of the count location. To ensure that all data collectors were enumerating pedestrians in the same geographical area, pedestrians were counted as they passed a pre-determined physical marker, for example a lamppost. At locations with a footfall camera installed, the footfall camera was the selected physical marker. Novelty There are currently no, or very limited, publicly available manually collected footfall counts. This makes it difficult to assess the accuracy of automatically collected footfall counts, which are commonly used in mobility and urban analytics research. Quality On Tuesday 6th July, there was heavy rain from 10:00 to 16:00 at both locations, North Street (Wetherby) and B6167 Otley Road (Headingley) which may impact the number of pedestrians. During the other data collection days, the weather was dry with no cloud between 10:00 and 16:00. On Friday 9th July at Commercial Street, a sales cart was in proximity to the footfall camera. This partially obscured the data collectors' view of pedestrian flows; it is unknown whether the sales cart would impact counts recorded by the footfall camera. Representation and Bias There are no expected representational issues or biases in the data. All people have a similar chance of being recorded by the human data collectors. See 'Counting Methodology' for details about people who were deliberately excluded due to their chosen transport method. Citation The following statement should be included when citing the use of this dataset: "The data for this research were funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No. 757455), and provided by the Consumer Data Research Centre, an ESRC Data Investment (grant ES/L011840/1; ES/L011891/1)" 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
Impact Further collaborations with Leeds City Council, especially through the Intern Programme. 
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 Micro-level transport-health interactions model 
Description The model takes new mobile phone location data (Track and Trace data) to calculate individual exposure to activity and pollutant related health burdens arising from travel choices. The model is also able to calculate an equity outcome for the resultant health burdens. The model has significantly adapted an existing macro level model of transport-health (ITHIM). 
Type Of Material Data analysis technique 
Year Produced 2017 
Provided To Others? No  
Impact The model is still under further development and hasn't yet been made available to others. The background input data is not publicly available. 
 
Title New version of Robin Lovelace's stats19 R package - 2019 
Description CDRC Co-I Robin Lovelace's stats19 R package - R package for working with open road traffic casualty data from Great Britain https://docs.ropensci.org/stats19. stats19 provides functions for downloading and formatting road crash data. Specifically, it enables access to the UK's official road traffic casualty database, STATS19. (The name comes from the form used by the police to record car crashes and other incidents resulting in casualties on the roads.) A full overview of STATS19 variables 
Type Of Material Computer model/algorithm 
Year Produced 2019 
Provided To Others? Yes  
Impact No known impacts yet. 
URL https://github.com/ropensci/stats19
 
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 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 Otley BID 
Description This dataset has been provided by Otley Business Investment District (BID), an investment scheme for local businesses based in Otley, West Yorkshire. The data is an hour-by-hour account of footfall for four separate locations around Otley. Each site contains a sensor - typically by the ground-floor or first-floor window - which counts the distinct number of devices detected by nearby wireless-enabled devices. 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact na 
URL https://data.cdrc.ac.uk/dataset/otley-bid-footfall-data
 
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 Probiotics Chatter on UK Twitter 
Description This dataset comprises nearly N=75,000 tweets on UK chatter related to probiotic products. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? No  
Impact A research paper reporting the findings from two sets of analyses from this dataset is under review at a top tier journal. 
 
Title Psychological Effects of Exposure to Conflicting Nutritional Information 
Description This survey dataset N = 676 UK consumers comprises responses to questions surrounding levels of exposure to conflicting information about nutritional issues in the news and social media, and the effects of such exposure to nutrition confusion and backlash. 
Type Of Material Database/Collection of data 
Year Produced 2018 
Provided To Others? Yes  
Impact We published a paper in Public Health Nutrition journal detailing the psychological effects of exposure to conflicting nutritional information. 
URL https://osf.io/zpa5b/
 
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 Synthetic Population 
Description This synthetic population contains individual level data from England and Wales, generated from the 2011 census data. Individual row level data is available for MSOA geography. A description of the variables in the dataset is attached. 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact CDRC has received 2 research applications to use this data set. 
URL https://data.cdrc.ac.uk/dataset/synthetic-population
 
Title Topic Modelling and Social Network Analysis 
Description We performed automated topic modelling and social network analysis on a dataset of nearly N=75,000 tweets related to probiotic products in the UK. 
Type Of Material Data analysis technique 
Year Produced 2020 
Provided To Others? No  
Impact Research findings using these techniques have been submitted to a journal and these techniques will be made publicly available upon publication. 
 
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 UK Womens Cohort Study 
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. 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact na 
URL https://data.cdrc.ac.uk/dataset/uk-womens-cohort-questionnaire-data
 
Title Ubiquitous Digital Technologies and Spatial Structure; an update 
Description This is the data set required to reproduce Tranos and Ioannides (2021). The code and more information can be found in https://github.com/etranos/ict.un.us.uk. The paper can be found in https://doi.org/10.1371/journal.pone.0248982 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://zenodo.org/record/4630728
 
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 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 
Description 1. This data relates to property rentals and associated migration within the England and Wales for 2014 and 2015. It covers 0.5m rental listings from major England and Wales property portals. It has been corroborated with land registry sales and Royal Mail re-directions to produce a hindsight data view of: Listings for Rent; Transactions recorded; Rental Dates; Destination postcodes 2. This data relates to property transactions and associated migration within the England and Wales for 2014 and 2015. It covers 1.8m property listings from major England and Wales property portals. It has 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 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
Impact CDRC has received 14 research applications to use these data sets 
URL https://data.cdrc.ac.uk/product?q=whenfresh&sort=name+asc
 
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 YouGov 
Description This dataset contains survey data collected and analysed by YouGov plc between 27/7/15 and 27/7/16. Data on the following subjects is available: ? Supermarket shopping behaviours ? Attitudes to sustainability, environmental issues and food ? Food-related behaviours ? Commuting The Data is also separated along the following lines: • Location • Age • Gender • Social Demographic 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
Impact CDRC has received 5 research applications to use this data set 
URL https://data.cdrc.ac.uk/dataset/yougov-survey-data
 
Title YouGov 
Description Updated data set for 2018-2019 
Type Of Material Database/Collection of data 
Year Produced 2019 
Provided To Others? Yes  
Impact New data set, already 1 application to use the dataset in conjunction with supermarket data to find those areas of the country that are least served by supermarkets i.e. delivery service. 
URL https://data.cdrc.ac.uk/dataset/yougov-survey-data
 
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 AirBNB 
Organisation AirDNA
Country Spain 
Sector Private 
PI Contribution Data license agreement signed between 2 parties and UK academics have been able to apply to use the data for their novel research
Collaborator Contribution Data provider
Impact Data provider - individual projects / users are entered separately.
Start Year 2018
 
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 Asda Sustainable Business team 
Organisation Asda Stores Limited
Department Sustainability at Asda
Country United Kingdom 
Sector Private 
PI Contribution Provided data analysis to Asda sustainability decision-making on green marketing and product development. Focused on dairy and poultry categories. Developed national Every Day Expert questionnaires every quarter 2012-16 on consumer attitudes and behaviour on sustainability issues with panel of 20,000 customers.
Collaborator Contribution Provided data and use of Insight consumer panel.
Impact Journal papers in writing.
Start Year 2012
 
Description Bike Citizens - data partner 
Organisation Bike Citizens
Country Austria 
Sector Private 
PI Contribution Bike Citizens data will be made available for researchers nationwide to access
Collaborator Contribution Anonymised cyclist movement data in GPX format by users of the "Bike Citizens" app in London
Impact Data made available via the CDRC data store
Start Year 2016
 
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 Bounts - Data partner 
Organisation Bounts Limited
Country United Kingdom 
Sector Private 
PI Contribution Bounts data has been made available for researchers nationwide to access
Collaborator Contribution Bounts is a fitness app and activity data has been made available via the CDRC data store
Impact Data made available via the CDRC data store
Start Year 2016
 
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 British Library - expansion of the Geoindex 
Organisation The British Library
Country United Kingdom 
Sector Public 
PI Contribution Provided a theoretical and analytical framework to utilse the JISC UK Web Domain Dataset and the derived Geoindex data in a meaningful geographical research.
Collaborator Contribution Expanded the Geoindex for the years 2011-2013 and publish it freely online
Impact This is a multi-disciplinary collaboration which involves geographers, data analysts and archivists. This is the very beginning of our project, so no further outputs can be identified
Start Year 2017
 
Description CDRC Internship (Allan Jard) - Physical activity and sleep of 100 000 people, with data partner UK Biobank (2016/17) 
Organisation UK Biobank
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Intern Allan Jard worked in partnership with UK Biobank to complete a project to better understand physical activity and sleeping patterns in a cohort of 100,000 people. Intern utilised UK Biobank data. Dr Law was the internship supervisor and is on the Wellcome-funded UK Biobank Activity Expert Group, with membership of the Sleep Working Group. An important focus is to build a resource that can explore questions about how sleep may affect clinical and health outcomes. The aim of this project will be to develop and validate methods/algorithms for using UK Biobank accelerometry data to estimate sleep and wake periods. In addition to the biostatistical expertise provided by Dr Law, the work will be done in close collaboration with Dr Eleanor Scott a clinical expert in sleep/circadian rhythms and cardiometabolic disease (Dr Eleanor Scott). This is a unique opportunity for LIDA, as very few large scale epidemiological studies collect objective measures of sleep/activity.
Collaborator Contribution UK Biobank provided the data for this internship. Between 2013-2016 UK Biobank invited participants to wear a wrist-worn accelerometer to measure 7-day activity, with over 103,000 datasets collected.
Impact The initial output was the development of the sleep and activity measures for quantifying accelerometer data within UK Biobank. These can be used as a key resource for other sleep researchers as part of the UK biobank. In view of the size of the dataset, the complexity and depth of the accelerometer data that will be obtained, and its potential value to sleep and activity researchers, we anticipate that these results will be published in a high impact journal.
Start Year 2016
 
Description CDRC Internship (Bethan Swift) - Investigating factors behind low or zero household recycling rates in Leeds - Leeds City Council 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution Intern worked in partnership with LCC and the University of Leeds Sustainability team to complete a project to better understand the areas of the City with very low or zero household recycling. Intern utilised LCC data and conducted attitudinal surveys to better understand the issues and to identify the most successful interventions.
Collaborator Contribution Leeds City Council provided funding, data and joint supervision.
Impact An interactive visualisation tool is currently being developed for use by Leeds City Council. The tool will display recycling rates in each of the Leeds Wards and provide advice for people living in those wards to increase their recycling rates.
Start Year 2016
 
Description CDRC Internship (Charlotte Sturley) - Real time simulation of daily travel patterns - Catch! (Transport Systems Catapult) 
Organisation Transport Systems Catapult
Country United Kingdom 
Sector Private 
PI Contribution Project designed to answer the following questions: How can crowd-sourced smartphone application data be used to better understand individuals spatial and temporal movement patterns? Can the behaviours observed in the sample of app users be scaled up to city level? Do behaviour patterns vary by person type? Age Gender Socio-economic group
Collaborator Contribution Overall data project partner for this internship is Catch! Data Partners: Transport Systems Catapult University of Glasgow (Urban Big Data Centre) University of Leeds (Consumer Data Research Centre) - also provided supervision from Prof Mark Birkin, Dr Robin Lovelace, Prof Susan Grant-Muller and Dr Nikee Groot.
Impact A methodology for generating a synthetic population of individuals from Census tables for any Local Authority area. A process for linking a synthetic population to crowdsourced mobile app data. A microsimulation model for the case study area of Newcastle-upon-Tyne.
Start Year 2016
 
Description CDRC Internship (Ed Berry) - Identifying problem gamblers - SkyBet 
Organisation Sky Betting & Gaming
Country United Kingdom 
Sector Private 
PI Contribution Supervised by Richard Mann, this internship is a collaboration with Sky Bet in order to explore their data on problem gamblers in order to identify risks.
Collaborator Contribution Sky Bet are contributing to this internship with their data in order to identify problem gamblers.
Impact No outputs yet.
Start Year 2017
 
Description CDRC Internship (Evie Rothwell Douglas) - Involving cancer patients in decisions about how their data is used - useMYdata 
Organisation MY data movement
Sector Charity/Non Profit 
PI Contribution Evie worked with data provided by useMYdata in order to demonstrate ways in which cancer patients can be involved in decisions on how their data is used.
Collaborator Contribution Provided datasets for the intern project.
Impact No known outputs.
Start Year 2016
 
Description CDRC Internship (Jamie Peterson) - Multi-scale infrastructure systems analytics in collaboration with the ITRC MISTRAL project 
Organisation UK Infrastructure Transitions Research Consortium
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution This internship supported the work of ITRC Mistral by examining multi-scale infrastructure systems, with the goal to provide models and evidence to influence the planning and design of national infrastructure, such as: Transport, Water Supply, Waste water, Energy, Digital communications and Waste.
Collaborator Contribution This internship was supported by ITRC MISTRAL and fed into their ongoing work to ensure that its research is taken up and used to improve the resilience of infrastructure systems in the UK and further afield. The ITRC MISTRAL academic partners include the universities of Oxford, Newcastle, Southampton, Cardiff, Cambridge, and Sussex. ITRC's external partners are from across the infrastructure community. It works with infrastructure providers, investors and associated businesses, but also talks to policy makers and the organisations that are supporting the sector, including encouraging innovation. This includes the external partners listed here: http://www.itrc.org.uk/about-us/partners/#.WqjkMWrFKUk.
Impact No known outputs.
Start Year 2016
 
Description CDRC Internship (Katie Nicol Baines) - Linking nutritional intake of phytosterols with breast cancer outcomes: a spatial microsimulation approach - Leeds Teaching Hospital NHS Trust 
Organisation Leeds Teaching Hospitals NHS Trust
Country United Kingdom 
Sector Public 
PI Contribution This 16 week internship will take a two stage format: stage 1 - training; stage 2 - applied research. Skills learnt during the training stage (1) will be demonstrated during the applied research element (2). Stage 1 - Training The first two weeks of the project will be comprised of self-directed learning. Support and guidance will be available from Michelle and James as required. Primary learning materials will be as follows: • Book: Spatial Microsimulation: A Reference Guide for Users ed's Tanton and Edwards • Book chapter: Birkin et al: Using census data in microsimulation modelling • Familiarisation with the National Diet and Nutrition Survey • Familiarisation with PPM+ http://www.slideshare.net/TonyShannon1/nhs-england-open-source-event-tony-shannon-open-platform) Support acquiring and working with clinical data from PPM+ will be provided by the LIDA Data Services team. Stage 2 - Applied research The remainder of the project will consist of applied research and writing up of findings. The student will join an already established project which utilizes microsimulation methods to understand diet and health outcomes. The student will: a) Identify phytosterol or oxidized cholesterol rich foods in the NDNS b) link these nutritional data from the NDNS to synthetic population for Leeds c) link breast cancer outcomes to the synthetic dataset d) investigate associations between sterol intake and breast cancer outcomes cross-sectionally in this dataset
Collaborator Contribution Data sources used: • Breast cancer outcomes and chemotherapy treatments in PPM+ data (available via the MRC Medical Bioinformatics Centre). • Synthetic population for all Leeds residents at small area geography level (available via the ESRC Consumer Data Research Centre). This is CDRC 'safeguarded' data and will be subject the RAG approval. • Nutritional records reported in the National Diet and Nutrition Survey (NDNS) which will be appended to the synthetic population for Leeds
Impact No outputs reported as yet.
Start Year 2016
 
Description CDRC Internship (Michael Adcock) - Creating a vulnerability score for the UK adult population - REaD Group 
Organisation REaD Group Ltd
Country United Kingdom 
Sector Private 
PI Contribution Supervised by Nik Lomax, this internship is a collaboration with REaD Group in order to create a vulnerability score for the UK adult population.
Collaborator Contribution REaD Group are collaborating with the CDRC by providing data for this internship.
Impact No outputs yet.
Start Year 2017
 
Description CDRC Internship (Molly Asher) - Petition Parliament Debates on Twitter - Petitions Committee (UK Parliament Committee) 
Organisation House of Commons
Country United Kingdom 
Sector Public 
PI Contribution The CDRC intern contributed to a pilot study in preparation for an ESRC grant application/ESRC project on the effectiveness of the UK Parliament's e-petitions system with the goal to determine whether e-petitions have led to a rise in trust in parliament, the development of new engagement with parliament and/or policy changes. The main output of the internship project was Python (and some R) code scripts together with a technical documentation/report to be used and extended in the ESRC project (provided it is funded).
Collaborator Contribution Joint supervision and provision of data for pilot study
Impact Pilot study led to a ESRC White Rose DTP Collaborative Studentship to further the research.
Start Year 2016
 
Description CDRC Internship (Natacha Chenevoy) - Monitoring hate crime and community tensions through innovative social media analysis, in collaboration with Lancashire Police 
Organisation Lancashire Police Service
Country United Kingdom 
Sector Public 
PI Contribution Intern worked in partnership with Lancashire Police Service to complete a project to monitor hate crime and community tensions, using innovative social media analysis. Intern utilised Lancashire Police data for the study. Supervised by Carly Lightowlers and Nick Malleson. The overarching research question is: can the analysis of social media data provide an insight into changing community tensions and hate crime? This question will be addressed through two objectives. The first objective will be to determine whether the language of used in social media might be indicative of strong or weak community relations. It will begin with simple keyword-based analysis of the social media data, moving on to more nuanced natural language processing. The second objective will be to overlay alternative data sources that might supplement and validate the text analysis such as demographic statistics, the index of multiple deprivation, voting records, smart phone mobility data, etc., as well as routinely captured police hate crime data. This work will serve to scope the potential use of social media data for monitoring community tensions and hate crime alongside routine secondary data sources. The findings are thought to offer valuable insights into monitoring and developing effective policing strategies around hate crime and community policing.
Collaborator Contribution Lancashire Police Service provided the data for this internship, specifically police recorded hate crime data. Delivery of these data was agreed by Lancashire and South Yorkshire Constabularies and LIDA has adequate facilities to store the data (it already houses data provided by West Yorkshire Police for another project lead by the supervisors).
Impact Natasha has been nominated for an international award (IALEIA Award for Excellence) by Lancashire Police Service for the quality of her research and is due to collect this in 2018 from the awarding body in Los Angeles, US.
Start Year 2016
 
Description CDRC Internship (Ryan Ritchie) - Investigating the potential future size and configuration of the ATM network across the UK - LINK Scheme Ltd 
Organisation Link Scheme Holdings Ltd
Country United Kingdom 
Sector Private 
PI Contribution Supervised by Chris Duley, this internship is a collaboration with LINK in order to investigate the potential future size and configuration of the ATM network across the UK, using LINK data.
Collaborator Contribution LINK Scheme Ltd are collaborating on the internship by sharing data and will use any outcomes of the research to inform their business plan.
Impact No outputs yet.
Start Year 2017
 
Description CDRC User Application 009: North Yorkshire Council 
Organisation North Yorkshire County Council
Country United Kingdom 
Sector Public 
PI Contribution Processed and managed data access application and review process to Acxiom data for project 009: The Director of Public Health Annual Report for North Yorkshire
Collaborator Contribution Submitted an application to CDRC Secure Service for access to Acxiom data for project 009: The Director of Public Health Annual Report for North Yorkshire. The project required a highly aggregated level of data, therefore with the agreement of the data partner, the CDRC data scientists analysed the data on behalf of NYCC and provided highly aggregated outputs.
Impact Approved and completed CDRC User application 009.
Start Year 2016
 
Description CDRC User Application 010: Looking at the redevelopment around Elephant and Castle and the associated movement of people in and out of the area/ changes in property purchases - Whenfresh/Zoopla (25/05/2016) 
Organisation Emu Analytics Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh/ Zoopla data for project 010 - Looking at the redevelopment around Elephant & Castle and the associated movement of people in and out of the area/ changes in property purchases. Application rejected by CDRC on commercial grounds.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh and Zoopla data for project 010 - Looking at the redevelopment around Elephant & Castle and the associated movement of people in and out of the area/ changes in property purchases. Application rejected by CDRC on commercial grounds.
Impact Rejection of CDRC user application 010.
Start Year 2016
 
Description CDRC User Application 015: Transport and Land Value Uplift (received 08/07/2016) 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh and Zoopla data for project 015 - Transport and Land Value Uplift. Application was withdrawn before being passed to CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh and Zoopla data for project 015 - Transport and Land Value Uplift. Application withdrawn however.
Impact None.
Start Year 2016
 
Description CDRC User Application 016 - Developing a dynamic risk model for temporally clustered crime series (12/07/2016) 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Acxiom data for project 016 - Developing a dynamic risk model for temporally clustered crime series. Application approved by CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Acxiom data for project 016 - Developing a dynamic risk model for temporally clustered crime series. Full proposal submitted.
Impact CDRC User Application 016 - full proposal on record. In progress as part of a PhD project which is in its final year.
Start Year 2016
 
Description CDRC User Application 020 - Investigating the relationship between income, tenure, household composition and a range of health outcomes, e.g. obesity, diabetes and mental health - Acxiom (27/07/2016) 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Acxiom data for project 020 - Investigating the relationship between income, tenure, household composition and a range of health outcomes, e.g. obesity, diabetes and mental health. Application on hold.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Acxiom data for project 020 - Investigating the relationship between income, tenure, household composition and a range of health outcomes, e.g. obesity, diabetes and mental health. Project on hold.
Impact No outputs yet as project is currently on hold.
Start Year 2016
 
Description CDRC User Application 021 - Housing Market Indicators - Whenfresh/ Zoopla (27/08/2016) 
Organisation University of Liverpool
Department Department of Geography and Planning
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 021 - Housing Market Indicators. Application approved by CDRC Research Approvals Group on 06/10/2016.This project will create a series of indicators about different aspects of the GB housing market including search intensity in aggregate and then also compiled for a series of sub markets such as sales V rental, or housing types (e.g. flats, detached etc).
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/ Zoopla data for project 021 - Housing Market Indicators. Project halted because funding request was unsuccessful.
Impact No outputs yet as project is still underway.
Start Year 2016
 
Description CDRC User Application 022 - To examine house market in Liverpool - Whenfresh/ Zoopla (05/10/2016) 
Organisation Queen Mary 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 022 - To examine house market in Liverpool. Application withdrawn by applicant.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/ Zoopla data for project 022 - o examine house market in Liverpool. Application withdrawn by applicant.
Impact No outputs as application was withdrawn.
Start Year 2016
 
Description CDRC User Application 025: Zone design for statistical disclosure risk in population data 
Organisation University of Southampton
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 025: Zone design for statistical disclosure risk in population data. Application approved by CDRC Research Approvals Group and project completed by researcher.
Collaborator Contribution Submitted application CDRC Safeguarded Service for access to CDRC Safeguarded Synthetic Population data for project 025: Zone design for statistical disclosure risk in population data. Project now complete.
Impact Approved CDRC User Application 025
Start Year 2016
 
Description CDRC User Application 027 - An exploration of Bike Citizens Data: developing tools and applications for enhanced analysis 
Organisation University of Leeds
Department Faculty of Environment
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Safeguarded Bike Citizens data for project 027 - An exploration of Bike Citizens Data: developing tools and applications for enhanced analysis. Application approved by CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Safeguarded Service for access to Bike Citizens Safeguarded data for project 027 - An exploration of Bike Citizens Data: developing tools and applications for enhanced analysis. Project now complete.
Impact Approved CDRC User Application 027
Start Year 2016
 
Description CDRC User Application 031 - Determinants of yields on private lettings in the UK - Whenfresh/ Zoopla (29/10/2016) 
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 031 - Determinants of yields on private lettings in the UK. Application withdrawn before going to CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for project 031 - Determinants of yields on private lettings in the UK. Application withdrawn by applicant.
Impact No outputs as application was withdrawn.
Start Year 2016
 
Description CDRC User Application 034 - Examining the role of consideration in made choice situations concerning food consumption or supermarket choices - YouGov (09/11/2016) 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled YouGov data for project 034 - Examining the role of consideration in made choice situations concerning food consumption or supermarket choices. Application withdrawn before it reached CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to YouGov data for project 034 - Examining the role of consideration in made choice situations concerning food consumption or supermarket choices. Application withdrawn by applicant.
Impact No outputs as application was withdrawn.
Start Year 2016
 
Description CDRC User Application 043 - Can new and emerging forms of data be used to better understand obesity in children? 
Organisation University of Leeds
Department Faculty of Environment
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Acxiom data for project 043 - Can new and emerging forms of data be used to better understand obesity in children? Application approved by CDRC Research Approvals Group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Acxiom data for project 043 - Can new and emerging forms of data be used to better understand obesity in children? Project underway.
Impact Approval of CDRC User Application 043
Start Year 2017
 
Description CDRC User Application 058 - Can new and emerging forms of data be used to better understand obesity in adults? - Callcredit Cameo (26/04/2017) 
Organisation University of Leeds
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Callcredit data for project 058 - Can new and emerging forms of data be used to better understand obesity in adults? Application on hold.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Callcredit data for project 058 - Can new and emerging forms of data be used to better understand obesity in adults? Application on hold by applicant.
Impact No outputs as yet as project currently on hold.
Start Year 2017
 
Description CDRC User Application 068 - What is the impact of urban realm improvements on residential property prices in London? - Whenfresh/Zoopla (12/06/2017) 
Organisation University of Leeds
Department Institute of Transport Studies
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 068 - What is the impact of urban realm improvements on residential property prices in London? Application approved by CDRC Research Approvals Group on 31/07/2017. The project is a hedonic house price study that aims to estimate the willingness to pay for urban realm improvements by measuring the land value uplift they provide. Using London as a case study, and with Transport for London (TfL) supporting by providing input and data, the work will provide an update to the established literature in this area with more comprehensive data and up to date techniques.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for project 068 - What is the impact of urban realm improvements on residential property prices in London? Full proposal submitted 20/06/2017. Application approved but user decided not to use the dataset.
Impact No outputs as applicant decided not to use the CDRC dataset.
Start Year 2017
 
Description CDRC User Application 069 - Initial proposal only to use Synthetic Population dataset (16/06/2017) 
Organisation University of Salamanca
Country Spain 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Synthetic Population data for project 069 - Initial proposal only. Application withdrawn by applicant.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Synthetic Population data for project 069 - Initial proposal only. Application withdrawn by applicant.
Impact No outputs as application withdrawn by applicant.
Start Year 2017
 
Description CDRC User Application 071 - Residential Location Choice Modelling - Whenfresh/Zoopla (29/06/2017) 
Organisation City, 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 071 - Residential Location Choice Modelling. Application approved by CDRC Research Approvals Group with requirement for major revision.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for project 071 - Residential Location Choice Modelling. Application approved by CDRC Research Approvals Group with requirement for major revision. Project suspended by applicant.
Impact No outputs as project suspended by applicant.
Start Year 2017
 
Description CDRC User Application 073 - Initial proposal only for access to HRUK dataset (29/06/2017) 
Organisation Villanova University
Country United States 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled HRUK data for project 073 - Initial proposal only, not pursued by applicant.
Collaborator Contribution Submitted application to CDRC Secure Service for access to HRUK data for project 073 - Initial proposal only, not pursued by applicant.
Impact No outputs as application not pursued by applicant.
Start Year 2017
 
Description CDRC User Application 074 - Space-Time Modelling of discreet, cross-sectional and sparse social survey data - Synthetic Population (30/06/2017) 
Organisation University College London
Department Department of Civil, Environmental and Geomatic Engineering
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 074 - Space-Time Modelling of discreet, cross-sectional and sparse social survey data. Application approved by CDRC Research Approvals Group on 14/08/2017. Neighbourhood level approaches to modelling phenomena are hampered by data sparsity. This sparsity, also called the small number problem, results in estimates that are unstable and uncertainty in the results. This research explores the impact of this sparsity in spatiotemporal Bayesian approaches for estimating and forecasting phenomenon at the neighbourhood level. Safeguarded data delivered to User.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Synthetic Population data for project 074 - Space-Time Modelling of discreet, cross-sectional and sparse social survey data. Full proposal submitted on 26/07/2017. Project now complete.
Impact No known outputs.
Start Year 2017
 
Description CDRC User Application 075 - Housing market forces and population mobility: the effects of the growth of the private rented sector in London - Whenfresh/Zoopla and Acxiom (04/07/2017) 
Organisation University College London
Department Bartlett Development Planning Unit
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh/ Zoopla and Acxiom data for project 075 - Housing market forces and population mobility: the effects of the growth of the private rented sector in London. Application approved by CDRC Research Approvals Group on 26/09/2017. The research investigates the extent to which housing market forces are contributing to increasing transience levels in urban areas, particularly in London, wherein access to housing has become even more linked with the ability to pay. The research focuses on the private rented sector and investigates how its regulatory framework and the length of tenancy agreements impact the sense of security of private renters and social cohesion in neighbourhoods. The research also investigates issues of governance by exploring the work of local authorities as they are responsible for enforcing housing standards, and how these are being affected by the growth of the sector at a time of austerity cuts. Semi-structured interviews with private renters and those working for local authorities are being conducted and statistical analysis on rental transaction data and associated migration is being planned to shed further light on transience levels associated with the private rented sector Research underway at UCL lab.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/ Zoopla and Acxiom data for project 075 - Housing market forces and population mobility: the effects of the growth of the private rented sector in London. Application approved by CDRC Research Approvals Group and project underway at UCL secure facilities.
Impact No known outputs as yet.
Start Year 2017
 
Description CDRC User Application 083 - FixMyStreet: Micro-geographies of civic engagement and neighbourhood environmental quality - Acxiom, Whenfresh/Zoopla, Bike Citizens (31/07/2017) 
Organisation Massachusetts Institute of Technology
Department Department of Urban Studies and Planning
Country United States 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Acxiom, Whenfresh/Zoopla and Bike Citizens data for Innovation Fund project 083 - FixMyStreet: Micro-geographies of civic engagement and neighbourhood environmental quality. Application approved by CDRC Research Approvals Group on 03/09/2017. Also use of Leeds secure facilities for data access. This project would make use of a large street quality reporting dataset in combination with existing CDRC data assets, in order to explore micro-geographies of civic engagement and neighbourhood environmental quality. Specifically, we will use data provided by FixMyStreet (c.1m records) to explore local neighbourhood conditions across the UK in relation to income, deprivation, household moves, transport, health and internet penetration. A secondary aim of the project is to engage MySociety, the creators of FixMyStreet, more fully in the wider CDRC project (including making FixMyStreet data available via CDRC). The research team have already secured access to the data and begun to explore it. We now need funding to take the work forward. With the support of the CDRC, we will produce findings of particular interest to local authorities across the UK, in addition to academic researchers and neighbourhood residents. User Agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Acxiom, Whenfresh/Zoopla and Bike Citizens data for project 083 - FixMyStreet: Micro-geographies of civic engagement and neighbourhood environmental quality. Project underway.
Impact No known outputs as yet as project started in Jan 2018.
Start Year 2017
 
Description CDRC User Application 085 - A Data-Driven Approach to Unlocking the Probiotics Controversy, Understanding Public Confidence and Analysing Consumption in the UK - YouGov (31/07/2017) 
Organisation Northumbria University
Department Department of Psychology
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled YouGov data for Innovation Fund project 085 - A Data-Driven Approach to Unlocking the Probiotics Controversy, Understanding Public Confidence and Analysing Consumption in the UK. Application approved by CDRC Research Approvals Group on 04/09/2017). The demand for probiotics (or good bacteria) products surges on in the UK and globally despite lack of consumer understanding of how they work, equivocal evidence about their effectiveness, and regulatory caution about health claims made by probiotics manufacturers. The project deconstructs this important public health debate by asking a fundamental question: what drives consumer confidence in probiotics products when the evidence, and labelling policies, are fraught with controversy? We explore this question using datasets from three sources: a) a national socio-behavioural online survey of probiotics confidence and consumption, b) a social media analytics platform, and c) YouGov and British Population surveys from CDRC's data repository. Using geo-visualization methods, we will construct geographical profiles of probiotics understanding, confidence, sentiments, and consumption in the UK. Our project will culminate with dissemination of findings to schools, parents, practitioners and policymakers through theatre workshops, research and policy briefs, and a virtual seminar series. User agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to YouGov data for project 085 - A Data-Driven Approach to Unlocking the Probiotics Controversy, Understanding Public Confidence and Analysing Consumption in the UK. Application approved by CDRC Research Approvals Group and project underway
Impact No known outputs as yet as project commenced in Nov 2017.
Start Year 2017
 
Description CDRC User Application 087 - Data driven, social, economic and spatial profiles; obesity DSESP-obesity/ Data driven, social, economic and spatial profiles; physical activity - D-SESP-PA - Active Inspiration, Callcredit and Whenfresh/Zoopla (31/07/2017) 
Organisation Leeds Beckett University
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Active Inspiration, Callcredit and Whenfresh/Zoopla data for Innovation Fund project 087 - Data driven, social, economic and spatial profiles; obesity DSESP-obesity/ Data driven, social, economic and spatial profiles; physical activity - D-SESP-PA. Application approved by CDRC Research Approvals Group on 29/09/2017, and Leeds safe rooms will be used for data access. Obesity and physical activity are both national priorities for the UK Government - yet to date, approaches to reduce obesity and increase physical activity, have been meet with limited success. Both are now viewed through a social lens (oppose to a medical one). These aim of these projects are twofold: (1) investigate if the economic and social environment in which an individual lives is associated with attendance to and effectiveness of weight management interventions and physical activity levels; (2) identify if attendance at weight management interventions and self-tracking app use for physical activity are socially patterned. At the individual level results will allow targeting of resources to individuals, or subgroups of individuals most in need and at the area level results could inform intervention design and also be of interest policy makers in terms of increasing the effectiveness of public services and policy decision. User Agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Active Inspiration, Callcredit and Whenfresh/Zoopla data for project 087 - Data driven, social, economic and spatial profiles; obesity DSESP-obesity/ Data driven, social, economic and spatial profiles; physical activity - D-SESP-PA. Application approved by CDRC Research Approvals Group and project underway.
Impact No known outputs as yet as project has been delayed in starting.
Start Year 2017
 
Description CDRC User Application 088 - Investigating Domestic Energy Efficiency Data (InDEED) - Acxiom and Whenfresh/Zoopla (31/07/2017) Innovation Fund user 
Organisation Leeds Beckett University
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Acxiom and Whenfresh/Zoopla data for Innovation Fund project 088 - Investigating Domestic Energy Efficiency Data (InDEED). Application approved by CDRC Research Approvals Group on 05/09/2017. Leeds safe rooms will be used for data access. Improving the energy efficiency of homes reduces energy bills and carbon emission. Energy Performance Certificates (EPCs) were introduced in the UK to measure the current efficiency of homes and encourage these improvements. Evidence from national EPC datasets show that the energy efficiency of homes is steadily improving over time. In these databases, many homes have multiple EPCs which indicate they have had some form of retrofit. However, it appears that the majority of houses with multiple EPCs do not, in fact, show much improvement in their score. This project aims to determine if national datasets around household and community income, property-value or other geographic measures can explain why people improve their homes. The outcome of this research could shape targeted policy to improve the thermal performance of homes, specifically those in community whose socio economic characteristics suggest they may be in greatest need of support. User Agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Acxiom and Whenfresh/Zoopla data for Innovation Fund project 088 - Investigating Domestic Energy Efficiency Data (InDEED). Application approved by CDRC Research Approvals Group and project underway.
Impact No known outputs as yet as project only started in Nov 2017.
Start Year 2017
 
Description CDRC User Application 089 - Impact of investments in local public goods and planning decisions on house prices, rents and equilibrium sorting - Whenfresh/Zoopla (31/07/2017) - Innovation Fund user 
Organisation University of Essex
Department Department of Economics
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh/Zoopla data for Innovation Fund project 089 - Impact of investments in local public goods and planning decisions on house prices, rents and equilibrium sorting. Application approved by CDRC Research Approvals Group on 05/09/2017. Detailed microdata on house prices, rents, infrastructure, and planning permission are crucial for understanding the impact of local public goods and planning decisions on prices, tax revenue, who can afford to live where, and on social welfare. We will combine microdata on local infrastructure and planning decisions with the CDRC's Whenfresh/Zoopla data sets on house values and rents. We will then use these data to measure the social value of public goods and to predict the impacts of investments and planning decisions on urban mobility, house prices and rents, tax revenue, and social welfare. User Agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for Innovation Fund project 089 - Impact of investments in local public goods and planning decisions on house prices, rents and equilibrium sorting. Application approved by CDRC Research Approvals Group and project underway.
Impact No known outputs as yet as project commenced in Jan 2018.
Start Year 2017
 
Description CDRC User Application 090 - Using small area income data to better understand society - Acxiom and Callcredit - Innovation Fund user (31/07/2017) 
Organisation National Centre for Social Research
Country United Kingdom 
Sector Charity/Non Profit 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Acxiom and Callcredit data for Innovation Fund project 090 - Using small area income data to better understand society. Application approved by CDRC Research Approvals Group on 07/09/2017. This project has both methodological and substantive purposes. We aim to add substantially to national debates about the distribution of household income and geographical polarisation by describing patterns of income at the very local level. This will include examining between and within area measures of the income distribution. We will also show how small area income data can be used to add explanatory power to the housing thematic areas of interest to CDRC by including it in a model to predict residential property prices. In addition, we will also undertake validation work on the administrative data held by CDRC by comparing it with government survey data. The outputs will include a substantive policy report, methodological discussion paper, as well a new dataset. The resulting report, data and analytical models will enable new measures to be included in indices of local areas, such as the Index of Multiple Deprivation. User Agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Acxiom and Callcredit data for Innovation Fund project 090 - Using small area income data to better understand society. Application approved by CDRC Research Approvals Group and project underway.
Impact Website page and possible blog planned for next quarter of project.
Start Year 2017
 
Description CDRC User Application 091 - Data on housing returns for the UK, with an application to quantifying the value of local healthcare and schools quality - Whenfresh/Zoopla (31/07/2017) - Innovation Fund user 
Organisation National Institute of Economic and Social Research (NIESR)
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Whenfresh/Zoopla data for Innovation Fund project 091 - Data on housing returns for the UK, with an application to quantifying the value of local healthcare and schools quality. Application approved by CDRC Research Approvals Group on 06/09/2017. Housing is by far the largest asset in UK household portfolios, and its importance has grown over the last two decades. It is necessary to have data on the returns to owning a home in order to be able to investigate a wide range of key policy issues for the UK. Because housing is such an important asset, gaining a full picture of regional inequalities requires data on how the returns to home ownership vary across regions. Similarly, understanding trends in intergenerational inequality requires evidence on returns to home ownership. However, there is little evidence on the returns to owner-occupied housing in the UK. Our project uses the unique CDRC data on UK housing sales prices, rental prices and mortgage lending to construct measures of the returns, to owner occupied housing for local areas in the UK, and uses them to value local amenities such as school and healthcare quality. User Agreements signed and project underway.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for Innovation Fund project 091 - Data on housing returns for the UK, with an application to quantifying the value of local healthcare and schools quality. Application approved by CDRC Research Approvals Group and project underway.
Impact No known outputs as yet as project commenced Jan 2018.
Start Year 2017
 
Description CDRC User Application 093 - Initial proposal only for access to HRUK dataset (04/09/2017) 
Organisation University of Nottingham
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled HRUK data for project 093 - initial proposal only. Application withdrawn.
Collaborator Contribution Submitted application to CDRC Secure Service for access to HRUK data for project 093 - initial proposal only. Application withdrawn.
Impact No outputs as application withdrawn by applicant.
Start Year 2017
 
Description CDRC User Application 098 - initial proposal only for access to Active Inspiration dataset (02/10/2017) 
Organisation Leeds City Council
Country United Kingdom 
Sector Public 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Active Inspiration data for project 098 - Initial proposal only. Application withdrawn.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Active Inspiration data for project 098 - Initial proposal only. Application withdrawn.
Impact No outputs as application withdrawn by applicant.
Start Year 2017
 
Description CDRC User Application 102 - initial application only for access to Callcredit cameo data (18/10/2017) 
Organisation University of Leeds
Department Leeds Institute of Data Analysis
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled Callcredit data for project 102 - initial application only. Application withdrawn by applicant.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Callcredit data for project 102 - initial application only. Application withdrawn by applicant.
Impact No outputs as application withdrawn by applicant.
Start Year 2017
 
Description CDRC User Application 105 - The impact of housing market investors: theory and evidence from the UK - Whenfresh/Zoopla (09/11/2017) 
Organisation Imperial College London
Department Imperial College Business School
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 105 - The impact of housing market investors: theory and evidence from the UK. Application approved by CDRC Research Approvals Group on 11/01/2018. What role do investors in housing markets play? Due to the lack of data availability, very little is known about the impact of investors in the UK housing market. Despite this, policy proposals are being implemented that aim to discourage investors from buying investment property. However, in recent academic work, it is far from evident that investors are necessarily detrimental to welfare. Additionally, the role of foreign investors is often questioned and looked adversely upon. Theoretical results in the economic literature have shown that the welfare loss caused by foreign investors is essentially zero so long as the investment property is rented out. This paper aims to provide empirical evidence of what investors do with the houses they purchase in the UK housing market. The research questions are: (i) who are the investors in the housing market? (ii) why do investors buy houses? (iii) how do investors buy houses? And, finally, (iv) what do investors do with their properties? The last question will have a strong focus on what foreign investors in particular do with their investment properties. User Agreement in preparation.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for project 105 - The impact of housing market investors: theory and evidence from the UK. Application approved by CDRC Research Approvals Group and user agreement in preparation.
Impact No outputs as yet as project not yet underway.
Start Year 2017
 
Description CDRC User Application 107 - PIGSustain: Predicting the Impacts of Intensification and Future Changes on UK Pig Industry Resilience. Work Package 2: Forecasting consumer trends and market stability over time - YouGov (24/11/2017) 
Organisation University of Leeds
Department Leeds Institute of Data Analysis
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled YouGov data for project 107 - PIGSustain: Predicting the Impacts of Intensification and Future Changes on UK Pig Industry Resilience. Work Package 2: Forecasting consumer trends and market stability over time. Application currently undergoing review by RAG approvals group.
Collaborator Contribution Submitted application to CDRC Secure Service for access to YouGov data for project 107 - PIGSustain: Predicting the Impacts of Intensification and Future Changes on UK Pig Industry Resilience. Work Package 2: Forecasting consumer trends and market stability over time.Full proposal submitted on 20/12/2017.
Impact No outputs at this stage as project not yet underway.
Start Year 2017
 
Description CDRC User Application 110 - initial proposal only for access to YouGov dataset (19/12/2017) 
Organisation University of Leeds
Department Leeds Institute of Data Analysis
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC Controlled YouGov data for project 110 - initial proposal only. Application approved by CDRC Research Approvals Group. Awaiting full proposal.
Collaborator Contribution Submitted application to CDRC Secure Service for access to YouGov data for project 110 - initial proposal only. Application approved by CDRC Research Approvals Group. Awaiting full proposal.
Impact No outputs as yet as application not yet approved due to waiting for full proposal.
Start Year 2017
 
Description CDRC User Application 112 - An exploration of the relationships between health, physical activity and climate change - Active Inspiration 
Organisation Active Inspiration
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC safeguarded Active Inspiration data for project 112 - An exploration of the relationships between health, physical activity and climate change. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC safeguarded service for access to Active Inspiration data for project 112 - An exploration of the relationships between health, physical activity and climate change. Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 114 - The effects of diet and exercise on cancer, metabolic syndrome, chronic inflammation, and mortality - UK Women's Cohort Study 
Organisation University of Leeds
Department UK Women's Cohort Study
Country United Kingdom 
Sector Academic/University 
PI Contribution Processed and managed data access application and review process to CDRC secure UKWCS data for project 114 - The effects of diet and exercise on cancer, metabolic syndrome, chronic inflammation, and mortality. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC secure service for access to UKWCS data for project 114 - The effects of diet and exercise on cancer, metabolic syndrome, chronic inflammation, and mortality. Initial application only.
Impact No outputs yet.
Start Year 2018
 
Description CDRC User Application 117 - To understand the cost of flooding using revealed preference methods (using house property prices to measure the value of disamenities) - Whenfresh/Zoopla 
Organisation Whenfresh Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC secure Whenfresh/Zoopla data for project 117 - To understand the cost of flooding using revealed preference methods (using house property prices to measure the value of disamenities) . Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC secure service for access to Whenfresh/Zoopla data for project 117 - To understand the cost of flooding using revealed preference methods (using house property prices to measure the value of disamenities). Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 118 - Speculative application to support MSc work - Active Inspiration 
Organisation Active Inspiration
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC safeguarded Active Inspiration data for project 118 - Speculative application to support MSc work. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC safeguarded service for access to Active Inspiration data for project 118 - Speculative application to support MSc work. . Initial application only; full project proposal in progress
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 124 - Exploring associations between cycling patterns and weather conditions in London - Bike Citizens 
Organisation Bike Citizens
Country Austria 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC safeguarded Bike Citizens data for project 124 - Exploring associations between cycling patterns and weather conditions in London. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC safeguarded service for access to Bike Citizens data for project 124 - Exploring associations between cycling patterns and weather conditions in London. Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 129 - To develop a new, place-specific geodemographic classification for the city of Leeds - Whenfresh/Zoopla 
Organisation Whenfresh Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC secure Whenfresh/Zoopla data for project 129 - To develop a new, place-specific geodemographic classification for the city of Leeds. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC secure service for access to Active Inspiration data for project 112 - Whenfresh/Zoopla data for project 129 - To develop a new, place-specific geodemographic classification for the city of Leeds. Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 147 - to explore consumer preference for on-line/ off-line shopping in the UK Grocery Retail Industry - YouGov Survey (08/05/2018) 
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 147 - to gain understanding of consumer E-commerce engagement. Full project proposal form submitted. Project approved by SMT and RAG committee to go ahead in July 2018.
Collaborator Contribution Submitted application to CDRC secure service for access to YouGov data for project 147 -to gain understanding of consumer E-commerce engagement. Full project proposal submitted and approved, and project completed.
Impact A publication (working paper) has been shared with the data partner and will be published shortly.
Start Year 2018
 
Description CDRC User Application 175 - what motivates people to become more physically active? (11/06/2018) 
Organisation Active Inspiration
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC Safeguarded Active Inspiration data for project 175 - what motivates people to become more physically active? Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC safeguarded service for access to Active Inspiration data for project 175 - what motivates people to become more physically active? Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 186 - To examine the housing transaction across the UK (30/06/2018) 
Organisation Whenfresh Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC controlled Whenfresh/ Zoopla data for project 186 - To examine the housing transaction across the UK. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/ Zoopla data for project 186 - To examine the housing transaction across the UK. Project application underway.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 186 - To examine the housing transaction across the UK (30/06/2018) 
Organisation Zoopla Property Group Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC controlled Whenfresh/ Zoopla data for project 186 - To examine the housing transaction across the UK. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC Secure Service for access to Whenfresh/ Zoopla data for project 186 - To examine the housing transaction across the UK. Project application underway.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 189 - applying machine learning to explaining difference in house prices in different areas (02/07/2018) 
Organisation Whenfresh Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC controlled Whenfresh/ Zoopla data for project 189 - applying machine learning to explaining difference in house prices in different areas. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC controlled service for access to Whenfresh/ Zoopla data for project 189 - applying machine learning to explaining difference in house prices in different areas. Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 189 - applying machine learning to explaining difference in house prices in different areas (02/07/2018) 
Organisation Zoopla Property Group Ltd
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC controlled Whenfresh/ Zoopla data for project 189 - applying machine learning to explaining difference in house prices in different areas. Awaiting full project proposal form.
Collaborator Contribution Submitted application to CDRC controlled service for access to Whenfresh/ Zoopla data for project 189 - applying machine learning to explaining difference in house prices in different areas. Initial application only; full project proposal in progress.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 200 - An exploration of indoor and outdoor mobility/activity patterns in relationship with built environment. (07/08/2018) 
Organisation Active Inspiration
Country United Kingdom 
Sector Private 
PI Contribution Processed and managed data access application and review process to CDRC safeguarded Active Inspiration data for project 200 - An exploration of indoor and outdoor mobility/activity patterns in relationship with built environment. Project proposal currently under review.
Collaborator Contribution Submitted application to CDRC safeguarded service for access to Active Inspiration data for project 200 - An exploration of indoor and outdoor mobility/activity patterns in relationship with built environment. Full project proposal submitted and currently under review.
Impact No outputs as yet.
Start Year 2018
 
Description CDRC User Application 219 - To explore the relationships between different aspects of users comments on service performance (19/09/2018) 
Organisation AirDNA
Country Spain