Consumer Data Research Support Service (CDRSS)
Lead Research Organisation:
University of Leeds
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.
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.
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
- University of Leeds (Lead Research Organisation)
- Zoopla Property Group Ltd (Collaboration)
- Ethical Consumer Research Association (Collaboration)
- NORTHUMBRIA UNIVERSITY (Collaboration)
- Ordnance Survey (Collaboration)
- BRADFORD TEACHING HOSPITALS NHS FOUNDATION TRUST (Collaboration)
- University College Cork (Collaboration)
- Leeds Data Science Society (Collaboration)
- UNIVERSITY OF BIRMINGHAM (Collaboration)
- UK Infrastructure Transitions Research Consortium (Collaboration)
- Whenfresh Ltd (Collaboration)
- O2 Telefonica Europe plc (Collaboration)
- Voi Technology (Collaboration)
- Telefonica S.A (Collaboration)
- Villanova University (Collaboration)
- Newcastle University (Collaboration)
- REaD Group Ltd (Collaboration)
- UNIVERSITY OF EXETER (Collaboration)
- Kelda Group (United Kingdom) (Collaboration)
- Alan Turing Institute (Collaboration)
- Google (Collaboration)
- N8 Research Partnership (Collaboration)
- London School of Hygiene and Tropical Medicine (LSHTM) (Collaboration)
- Acxiom (Collaboration)
- Arup Group (Collaboration)
- Iotics (Collaboration)
- UK Biobank (Collaboration)
- National Institute of Economic and Social Research (NIESR) (Collaboration)
- Shanghai Jiao Tong University (Collaboration)
- Bike Citizens (Collaboration)
- National Centre for Social Research (Collaboration)
- Leeds Teaching Hospitals NHS Trust (Collaboration)
- MY data movement (Collaboration)
- Leeds City Council (Collaboration)
- House of Commons (Collaboration)
- Asda Stores Limited (Collaboration)
- Callcredit Limited (Collaboration)
- University of Southern California (Collaboration)
- Geouniq (Collaboration)
- UNIVERSITY OF LEEDS (Collaboration)
- London School of Economics and Political Science (University of London) (Collaboration)
- Rail Delivery Group (Collaboration)
- Department of Transport (Collaboration)
- EMPOWER project (Collaboration)
- MANCHESTER METROPOLITAN UNIVERSITY (Collaboration)
- Whitespace (Collaboration)
- NORTH YORKSHIRE COUNTY COUNCIL (Collaboration)
- IMPERIAL COLLEGE LONDON (Collaboration)
- Department For Environment, Food And Rural Affairs (DEFRA) (Collaboration)
- Emu Analytics Ltd (Collaboration)
- YouGov (Collaboration)
- DIETARY ASSESSMENT LTD (Collaboration)
- Lancashire Police Service (Collaboration)
- IBM (Collaboration)
- The Royal Society (Collaboration)
- Bounts limited (Collaboration)
- Transunion (Collaboration)
- Transport Systems Catapult (Collaboration)
- Cancer Research UK (Collaboration)
- Rolls Royce Group Plc (Collaboration)
- Massachusetts Institute of Technology (Collaboration)
- Link Financial (Collaboration)
- Statistics Norway (Collaboration)
- Leeds Beckett University (Collaboration)
- University of Sheffield (Collaboration)
- DURHAM UNIVERSITY (Collaboration)
- University of Leicester (Collaboration)
- The Real Junk Food Project (Collaboration)
- Morrison Supermarkets plc (Collaboration)
- UNIVERSITY OF ESSEX (Collaboration)
- University of Salamanca (Collaboration)
- Sky Betting & Gaming (Collaboration)
- UNIVERSITY OF LINCOLN (Collaboration)
- Link Scheme Holdings Ltd (Collaboration)
- Sainsbury's (Collaboration)
- Passenger Transport Executive Group (Pteg) (Collaboration)
- The British Library (Collaboration)
- AirDNA (Collaboration)
- Institute of Grocery Distribution (Collaboration)
- City, University of London (Collaboration)
- Queen's University Belfast (Collaboration)
- Free University of Amsterdam (Collaboration)
- Vietnam National University (Collaboration)
- Heart Research UK (Collaboration)
- Improbable (Collaboration)
- University of Nottingham (Collaboration)
- Centre for Applied Education Research (Collaboration)
- Bradford Institute for Health Research (BIHR) (Collaboration)
- Raspberry Pi Foundation (Collaboration)
- OPEN DATA INSTITUTE (Collaboration)
- Minnesota Intercollegiate Athletic Conference (Collaboration)
- University of Oxford (Collaboration)
- Elder Research (Collaboration)
- Office for National Statistics (Collaboration)
- World Health Organization (WHO) (Collaboration)
- University of Manchester (Collaboration)
- WhytHawk (Collaboration)
- University College London (Collaboration)
- Bradford Metropolitan District Council (Collaboration)
- Otley BID Limited (Collaboration)
- University of Southampton (Collaboration)
- Town & Country Planning Association (Collaboration)
- Sciteb (Collaboration)
- University of Cambridge (Collaboration)
- Transport for London (Collaboration)
- Cuebiq (Collaboration)
- CycleStreets (Collaboration)
- Sustain (food and farming alliance) (Collaboration)
- University of Washington (Collaboration)
- QUEEN MARY UNIVERSITY OF LONDON (Collaboration)
- University of Liverpool (Collaboration)
- Digi.me Ltd (Collaboration)
- Active Inspiration (Collaboration)
Publications
Tait C
(2022)
Is cycling infrastructure in London safe and equitable? Evidence from the cycling infrastructure database
in Journal of Transport & Health
Tait C
(2023)
Contraflows and cycling safety: Evidence from 22 years of data involving 508 one-way streets.
in Accident; analysis and prevention
Tanton R
(2014)
Handbook of Microsimulation Modelling
Tapper A
(2017)
Case Study - Dynamic Data Assimilation in Agent-based Models
Thomas M
(2023)
Supermarket top-up of Healthy Start vouchers increases fruit and vegetable purchases in low-income households.
in Nutrition bulletin
Thomas M
(2019)
Variations in migration motives over distance
in Demographic Research
Timaite G
(2022)
OSM for sustainable transport planning
Timmins KA
(2018)
How has big data contributed to obesity research? A review of the literature
in International Journal of Obesity
Tomintz M
(2016)
smokeSALUD: exploring the effect of demographic change on the smoking prevalence at municipality level in Austria.
in International journal of health geographics
Tranos E
(2020)
Individual internet usage and the availability of online content of local interest: A multilevel approach
in Computers, Environment and Urban Systems
Tsutsumida N
(2017)
The Application of a Geographically Weighted Principal Component Analysis for Exploring Twenty-three Years of Goat Population Change across Mongolia
in Annals of the American Association of Geographers
Urquhart R
(2022)
Last-Mile Capacity Constraints in Online Grocery Fulfilment in Great Britain
in Journal of Theoretical and Applied Electronic Commerce Research
Uttley J
(2016)
Cycling promotion schemes and long-term behavioural change: A case study from the University of Sheffield
in Case Studies on Transport Policy
Van Der Werff E
(2018)
Changing Household Energy Usage: The Downsides of Incentives and How to Overcome Them
in IEEE Power and Energy Magazine
Van Leeuwen E
(2017)
Regional Research Frontiers - Vol. 2
Vidal Tortosa E
(2021)
Infrastructure is not enough: interactions between the environment, socioeconomic disadvantage and cycling participation in England (in press)
in The Journal of Transport and Land Use
Vidal Tortosa E
Cycling behaviour and socieconomic disadvantage: an investigation based on the English National Travel Survey (under-review)
in Transportation Research Part A: Policy and Practice
Viglia G
(2021)
How to design good experiments in marketing: Types, examples, and methods
in Industrial Marketing Management
Vijaykumar S
(2021)
Themes, communities and influencers of online probiotics chatter: A retrospective analysis from 2009-2017.
in PloS one
Vijaykumar S
(2021)
That gut feeling: public perceptions of media coverage and science surrounding probiotic products
in British Food Journal
Vijaykumar S
(2021)
Associations between conflicting nutrition information, nutrition confusion and backlash among consumers in the UK.
in Public health nutrition
| 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 | We stated three specific objectives as follows: 1. "To exploit existing connections, and to initiate, nurture and develop new relationships with data providers. This will lead to agreements for the sharing and re-use of specific data sets". This objective has been fully realised. CDRC has established and maintained a meaningful dialogue with over 166 data partners, and this has led to data sharing agreements with approximately 30 organisations allowing widespread academic access (over 10,000 unique users) to novel data sets. Many other organisations have shared data bilaterally for a combination of intern projects, PhD research and MSc dissertations, which have in turn led to novel insights. 2. "To create a technical architecture which supports the delivery of data to a community of users". CDRC has created a technical architecture which has been accredited under ISO27001 to allow safe data sharing within our organisation and across a network of users. The data has more than 1.66m page views within the CDRC portal and around 155k unique visitors to this data portal. We have also developed a short course training programme that has trained over 1200 academic, public and private sector individuals in over 60 training courses, encompassing programming for data science and application of data analytics to mobility, consumption and health domains. 3. "To generate a portfolio of research exemplars, comprising both thematic programmes as well as more focused projects The research will be disseminated both nationally and internationally in the usual way". Wide-ranging research outputs have been produced from two thematic programmes - or 'driver projects' - identified in our original proposal as 'mobility' and 'ethical consumption'. A third driver project in 'healthy lifestyles' was later added and developed in equal prominence to the other two. The data have also been deployed in other disciplines such as political science, economics, sociology and psychology, for example through our Innovation Fund projects which have also encouraged access from ten partner universities/ Institutes outside the core CDRC network. The work has been disseminated to a global audience through more than 300 journal papers and conference presentations. |
| Exploitation Route | We are undertaking projects with many commercial and government partners and through a network of academic collaborations. |
| Sectors | 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 | The CDRC was established in February 2014. A strong flow of data into research projects has been established from a diverse network of partners and data providers. This has led to a substantial corpus of peerreviewed research outputs from the Centre. The generation of data products and their presentation within a flexible and accessible portal has ensured wide-ranging awareness. CDRC-Leeds has established a strong interdisciplinary research network across multiple institutions to create transformational capacity in consumer data research. Specifically, our programme has had substantial impact on: i) Commercial users: the data sharing agreements which we have initiated have allowed more than 30 commercial organisations to share data with over 100 academic users on over 90 different projects. Many other PhD projects and MSc dissertations have led to specific analysis and in many cases academic publication of commercial case studies. We have recently held a workshop with one prominent partner in the retai sector at which one of our Co-Is was invited to become an advisory board member of the British Food Nutrition Panel as a direct result of her research collaboration with the retailer. This collaboration has encompassed (on the part of the retail partner) data sharing, supervision of PhDs and interns in collaboration with CDRC Co-Is. This in turn has influenced them to start making policy changes with regard to their product listings. We are currently liaising with the retail partner over becoming a CDRC training partner as well (contracts currently under negotiation). ii) Government: our work has been reported back to diverse organisations including Cabinet Office, HM Treasury, DfT, Scottish Government and through local partnerships with e.g. Leeds City Council, West Yorkshire Combined Authority, Transport for Greater Manchester. We have also advised internationally e.g. to German Data Forum, Sloan Foundation, NSF, hosting visits from Malaysian Multimedia and Communications Commission, Nordic-Baltic Fintech Trade Delegation, and National Bureau of Statistics (People's Republic of China). iii) Public e.g. through our role in supporting and promoting the Leeds Digital Festival with training and engagement events, now covering two weeks in April/ May, and through our work to promote public appreciation of big data opportunities e.g. through the LifeInfo study, and Be Curious events. iv) Research & Innovation: the intern programme which has been developed since 2016 has provided a means to support 37 projects as of March 2020, spanning several disciplines and commercial/ government partners from Transport Systems Catapult, Burberry, Sky Betting & Gaming and Sainsbury's to Improbable. Many of our interns have gone on to secure jobs at these or similar companies, and one went on to win an international award for research excellence for her work on detecting hate crime through social media channels. CDRC at Leeds has also developed the National Propensity to Cycle Tool (NPCT) as a result of work with the Department for Transport. The interactive web based tool was launched in July 2015 and is aimed at planners tasked with prioritising where to invest to best realise uptake of cycling. The model not only provides insight into where cycling has the greatest potential to grow, but also calculates resulting societal benefits.The method has already attracted significant interest from local authorities around the country including those at Liverpool and Leeds. http://www.cedar.iph.cam.ac.uk/research/modelling/npct-tool/#sthash.sGcklVMC.dpuf. It has also led to its sequel research infrastructure tool, Cycling Infrastructure Prioritisation Tool (CyIPT) in 2018. The 2017-18 Innovation Fund scheme and funding enabled CDRC to support 10 unique research projects on topics with real-world applications as wide-ranging as FixMyStreet: Micro-geographies of civic engagement and neighbourhood environmental quality, one of the outputs of which is a website with maps of local authority defects like fly-tipping, where anyone may search for most-reported issues in their locality; to Investigating Domestic Energy Efficiency Data, which has led to the deposit of an EPC error database with the CDRC data store, and data from which has been shared with staff in Welsh Government to enable them to better track EPCs in their housing stock. (v) Education & Capacity Building: CDRC has hosted over 1000 attendees on over 60 training workshops in topics ranging from R for Spatial Data Analytics; Python for Beginner Analysts; Analysing and mapping public health data; and Data Science, Ethics and AI. Non-academic attendance at these training events has more than doubled since March 2019. |
| First Year Of Impact | 2015 |
| 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 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 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 | 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 | 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 | 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 | 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 | Using Quantum GIS Training Short Course - 19th-20th June |
| Geographic Reach | Local/Municipal/Regional |
| Policy Influence Type | Influenced training of practitioners or researchers |
| 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 | 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 Support Service (CDRSS) |
| Amount | £5,250,043 (GBP) |
| Funding ID | ES/L011891/1 |
| Organisation | Economic and Social Research Council |
| Sector | Public |
| Country | United Kingdom |
| Start | 02/2014 |
| End | 02/2020 |
| Description | Creating a UK Colorectal Cancer Intelligence Hub - Supported by the Bobby Moore Fund |
| Amount | £3,239,906 (GBP) |
| Funding ID | 23706 |
| Organisation | Cancer Research UK |
| Sector | Charity/Non Profit |
| Country | United Kingdom |
| Start | 03/2017 |
| End | 03/2022 |
| 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 | 706,663Â 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 | 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 soil, Healthy food, Healthy people (H3) |
| Amount | £6,144,270 (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 | |
| 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 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 | 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 | 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 | £1,374,632 (GBP) |
| Funding ID | EP/V032658/1 |
| Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
| Sector | Public |
| Country | United Kingdom |
| Start | 08/2020 |
| End | 03/2022 |
| 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 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 | 05/2020 |
| 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 | 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 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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 | 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/14079842/1 |
| 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 |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 219 - To explore the relationships between different aspects of users comments on service performance. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to AirDNA data for project 219 - To explore the relationships between different aspects of users comments on service performance. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 222 - To highlight the effects of various forms of goal monitoring on perseverance and motivation (26/09/2018) |
| 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 222 - To highlight the effects of various forms of goal monitoring on perseverance and motivation. Full project proposal form reviewed by RAG committee and revisions requested. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to Active Inspiration data for project 222 - To highlight the effects of various forms of goal monitoring on perseverance and motivation. Full project proposal review in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 230 - For access to Whenfresh/Zoopla and CAMEO data (03/10/2018) |
| Organisation | Callcredit Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Whenfresh/Zoopla and CAMEO data for project 230. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC controlled service for access to Whenfresh/Zoopla and CAMEO data for project 230. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 230 - For access to Whenfresh/Zoopla and CAMEO data (03/10/2018) |
| Organisation | Whenfresh Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Whenfresh/Zoopla and CAMEO data for project 230. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC controlled service for access to Whenfresh/Zoopla and CAMEO data for project 230. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 230 - For access to Whenfresh/Zoopla and CAMEO data (03/10/2018) |
| 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 and CAMEO data for project 230. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC controlled service for access to Whenfresh/Zoopla and CAMEO data for project 230. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 237 - to analyse the impact of Airbnb listings on local house prices (11/10/2018) |
| Organisation | AirDNA |
| Country | Spain |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 237 - to analyse the impact of Airbnb listings on local house prices. Full project proposal form submitted and approved and project underway. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to AirDNA data for project 237 - to analyse the impact of Airbnb listings on local house prices. Project is underway. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 243 - to access YouGov data (30/10/2018) |
| 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 243. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to YouGov data for project 243. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 255 - To understand the impact of airbnb on the hotel market (14/11/2018) |
| Organisation | AirDNA |
| Country | Spain |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 255 - To understand the impact of airbnb on the hotel market. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to AirDNA data for project 255 - To understand the impact of airbnb on the hotel market. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 266 - To explore the geography of housing affordability in England (13/12/2018) |
| Organisation | Acxiom |
| Country | United States |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Acxiom, Whenfresh/ Zoopla data for project 266 - To explore the geography of housing affordability in England. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC secure service for access to Acxiom, Whenfresh/ Zoopla data for project 266 - To explore the geography of housing affordability in England. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 266 - To explore the geography of housing affordability in England (13/12/2018) |
| Organisation | Whenfresh Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Acxiom, Whenfresh/ Zoopla data for project 266 - To explore the geography of housing affordability in England. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC secure service for access to Acxiom, Whenfresh/ Zoopla data for project 266 - To explore the geography of housing affordability in England. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 266 - To explore the geography of housing affordability in England (13/12/2018) |
| Organisation | Zoopla Property Group Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Acxiom, Whenfresh/ Zoopla data for project 266 - To explore the geography of housing affordability in England. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC secure service for access to Acxiom, Whenfresh/ Zoopla data for project 266 - To explore the geography of housing affordability in England. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2018 |
| Description | CDRC User Application 272 - To understand what is IMPORTANT to the citizens of the city in relation to food concerns (04/01/2019) |
| Organisation | YouGov |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded YouGov data for project 272 - to understand what is IMPORTANT to the citizens of the city in relation to food concerns. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to ouGov data for project 272 - to understand what is IMPORTANT to the citizens of the city in relation to food concerns. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 276 - Determine favourable areas in the UK for the installation of electric vehicle charging points (10/01/2019) |
| Organisation | Acxiom |
| Country | United States |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled Acxiom data for project 276 - Determine favourable areas in the UK for the installation of electric vehicle charging points. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC secure service for access to Acxiom data for project 276 - Determine favourable areas in the UK for the installation of electric vehicle charging points. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 281 - The associations between physical activity and its interaction with diet on healthy state (22/01/2019) |
| 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 safeguarded UK Women's Cohort Study data for project 281 - The associations between physical activity and its interaction with diet on healthy state. Full project proposal form reviewed and approved. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to UK Women's Cohort Study data for project 281 - The associations between physical activity and its interaction with diet on healthy state. Project is currently underway. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 282 - To build a map of the physical retail banking infrastructure (branches & atms) in order to identify areas underserved (22/01/2019) |
| Organisation | Link Financial |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC controlled LINK data for project 282 - To build a map of the physical retail banking infrastructure (branches & atms) in order to identify areas underserved. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC secure service for access to LINK data for project 282 - To build a map of the physical retail banking infrastructure (branches & atms) in order to identify areas underserved. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 292 - To research the proliferation of Airbnb in Leeds and Manchester comparatively (06/02/2019) |
| Organisation | AirDNA |
| Country | Spain |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 292 - To research the proliferation of Airbnb in Leeds and Manchester comparatively. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to AirDNA data for project 292 - To research the proliferation of Airbnb in Leeds and Manchester comparatively. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 296 - To explore the situation of airbnb occupancy in London in different periods and adjust house prices accordingly (13/02/2019) |
| Organisation | AirDNA |
| Country | Spain |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 296 - To explore the situation of airbnb occupancy in London in different periods and adjust house prices accordingly. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to AirDNA data for project 296 - To explore the situation of airbnb occupancy in London in different periods and adjust house prices accordingly. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 298 - An analysis of the Dietary Fibre intake of women living in the North West of England. (18/02/2019) |
| 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 safeguarded UK Women's Cohort Study data for project 298 - An analysis of the Dietary Fibre intake of women living in the North West of England. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to UK Women's Cohort data for project 298 - An analysis of the Dietary Fibre intake of women living in the North West of England. Initial application only; full project proposal in progress. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 310 - To understand the potential uptake of groceries home delivery and its link to the supply side. (06/03/2019) |
| Organisation | YouGov |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded YouGov data for project 310 - To understand the potential uptake of groceries home delivery and its link to the supply side. Application currently under review. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded Service for access to YouGov data for project 310 - To understand the potential uptake of groceries home delivery and its link to the supply side. Project proposal form under review. |
| Impact | No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 312 - To gain an understanding of the health environment in the neighbourhood of the lettings (11/03/2019) |
| Organisation | AirDNA |
| Country | Spain |
| Sector | Private |
| PI Contribution | Processed and managed data access application and review process to CDRC safeguarded AirDNA data for project 312 - To gain an understanding of the health environment in the neighbourhood of the lettings. Awaiting full project proposal form. |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to AirDNA data for project 312 - To gain an understanding of the health environment in the neighbourhood of the lettings. Initial application only; full project proposal in progress. |
| Impact | No Outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 355 - Medium-Long Term Impact of AirBnB on cities |
| Organisation | London School of Economics and Political Science (University of London) |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Controlled Whenfresh/Zoopla data for project 355. Application approved by CDRC Research Approvals Group. Processed and managed data access application and review process to CDRC safeguarded AirBNB data for project 355 also. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to Whenfresh data for project 355 - Medium-Long Term Impact of AirBnB on cities. Project underway. |
| Impact | Approval of CDRC User Application 355 No outputs as yet. |
| Start Year | 2019 |
| Description | CDRC User Application 357 - Are vegans and vegetarians healthier than other people? Analysis of the UK Women's Cohort Study |
| Organisation | University of Leeds |
| Department | School of Food Science and Nutrition Leeds |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded UKWCS data for project 357 - Are vegans and vegetarians healthier than other people? Analysis of the UK Women's Cohort Study |
| Collaborator Contribution | Submitted application to CDRC safeguarded service for access to UKWCS data for project 357 - Are vegans and vegetarians healthier than other people? Analysis of the UK Women's Cohort Study |
| Impact | No outputs yet |
| Start Year | 2019 |
| Description | CDRC User Application 373 - Every Digit Counts: Heuristic Thinking and Biased Reference Points |
| Organisation | University of Cambridge |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Controlled Whenfresh/ Zoopla data for project 373 - Every Digit Counts: Heuristic Thinking and Biased Reference Points. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Secure Service for access to Whenfresh/Zoopla data for project 373 - Every Digit Counts: Heuristic Thinking and Biased Reference Points. Project underway. |
| Impact | No outputs yet. |
| Start Year | 2019 |
| Description | CDRC User Application LEEDS003 - Re-Counting Crime: New methods to improve the accuracy of estimates of crime |
| Organisation | University of Manchester |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded Synthetic Population data for project LEEDS003 - Re-Counting Crime: New methods to improve the accuracy of estimates of crime. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded Service for access to Synthetic Population data for project LEEDS003 - Re-Counting Crime: New methods to improve the accuracy of estimates of crime. Project underway. |
| Impact | No outputs yet. |
| Start Year | 2020 |
| Description | CDRC User Application LEEDS005 - Isolation and Inclusion in a Post-Social Distancing COVID World (intern project DS application) |
| Organisation | Newcastle University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Processed and managed data access application and review process to CDRC Safeguarded Synthetic Population data for intern project LEEDS005 - Isolation and Inclusion in a Post-Social Distancing COVID World. Application approved by CDRC Research Approvals Group. |
| Collaborator Contribution | Submitted application to CDRC Safeguarded Service for access to Synthetic Population data for project LEEDS005 - Isolation and Inclusion in a Post-Social Distancing COVID World. Project underway. |
| Impact | No outputs yet - case study planned end of March 2021. |
| Start Year | 2020 |
| Description | CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford |
| Organisation | Leeds City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford, March 2021 - October 2021. Spatial and demographic implications of covid vaccinations in Leeds. CDRC Data Scientist Dustin Foley analysed vaccination rates within the Leeds area and produced a Jupyter Notebook documenting this for reproducibility. This work was helpful in allowing the public health department at LCC to see where take-up of vaccinations was poor and to investigate why. |
| Collaborator Contribution | Data provided by Leeds City Council. Project led by Jeremy Large at Oxford University. |
| Impact | Representatives from Sciteb invited to the CDRC Partner Forum and AI-UK. Sharing data and analytical capability between the city and the university and its constituent research centres remains a priority for pursuit through the Office for Data Analytics. |
| Start Year | 2021 |
| Description | CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford |
| Organisation | Sciteb |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford, March 2021 - October 2021. Spatial and demographic implications of covid vaccinations in Leeds. CDRC Data Scientist Dustin Foley analysed vaccination rates within the Leeds area and produced a Jupyter Notebook documenting this for reproducibility. This work was helpful in allowing the public health department at LCC to see where take-up of vaccinations was poor and to investigate why. |
| Collaborator Contribution | Data provided by Leeds City Council. Project led by Jeremy Large at Oxford University. |
| Impact | Representatives from Sciteb invited to the CDRC Partner Forum and AI-UK. Sharing data and analytical capability between the city and the university and its constituent research centres remains a priority for pursuit through the Office for Data Analytics. |
| Start Year | 2021 |
| Description | CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford |
| Organisation | University of Oxford |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | CODiT (Covid Opensource Digital Twin project) - Collaboration with Leeds City Council, Sciteb and University of Oxford, March 2021 - October 2021. Spatial and demographic implications of covid vaccinations in Leeds. CDRC Data Scientist Dustin Foley analysed vaccination rates within the Leeds area and produced a Jupyter Notebook documenting this for reproducibility. This work was helpful in allowing the public health department at LCC to see where take-up of vaccinations was poor and to investigate why. |
| Collaborator Contribution | Data provided by Leeds City Council. Project led by Jeremy Large at Oxford University. |
| Impact | Representatives from Sciteb invited to the CDRC Partner Forum and AI-UK. Sharing data and analytical capability between the city and the university and its constituent research centres remains a priority for pursuit through the Office for Data Analytics. |
| Start Year | 2021 |
| Description | Callcredit - data partner |
| Organisation | Callcredit Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Callcredit data will be made available for researchers nationwide to access |
| Collaborator Contribution | Callcredit will be providing nationwide geodemographic segmentation data via the CDRC data store |
| Impact | Data made available via the CDRC data store |
| Start Year | 2016 |
| Description | Collaboration with Department for Environment, Farming, and Rural Affairs (Defra) |
| Organisation | Department For Environment, Food And Rural Affairs (DEFRA) |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Working with Defra to look at uptake of Agri-Environmental Schemes (AES). I have worked to produce statistical analyses examining how various factors, including geospatial and social, influence the uptake of AES. THis will be used to inform policy makers. |
| Collaborator Contribution | Provision of data and knowledge of current and upcoming AES schemes. |
| Impact | Presentation to Project Partner LIDA Seminar Series Presentation/Webinar to Defra |
| Start Year | 2021 |
| Description | Collaboration with Office for National Statistics Methodology Division |
| Organisation | Office for National Statistics |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Various ONS departments are interested in novel data sources which could support the production of small-area population statistics. As part of methodological decisions around future censuses, ONS have a number of active projects seeking to assess the feasibility of administrative and commercial data sources in capturing population and household statistics. Andy Newing (School of Geography), Jacob Van Alwon and Owen Hibbert (both LIDA DSDP) have explored the potential of dwelling-level water metering data to: 1. Assess the quality of dwelling-level water metering data supplied by an external data provider (a UK water supplier) and develop processes for data clearning and leak detection. 2. Assess the ethical and privacy concerns associated with working with these data at the dwelling and aggregate level and identify the appropriate temporal resolution for analysis. 3. Develop methodoloical approaches to determine characteristics of dwelling occupancy from these data - specifically to identify periods when a given dwelling is occupied/vacant. 4. Consider the extent to which these approaches could be used to classify properties according to their occupancy status and therefore to identify unoccupied properties, or those that may be associated with tourism. 5. To report on the potential future value of these data as a tool to capture small area tourism statistics and indicators of neighbourhood type/change. |
| Collaborator Contribution | Alongside the project team, ONS co-organised a Methodological Workshop to bring the project team together with a range of stakeholders within ONS, representing different teams/business functions. The workshop enabled detailed dialogue between the project team and methodological/domain experts at ONS, enabling us to: - Optimise some data cleaning processes based on ONS expertise and experience - Understand ONS' specific interests within this work and to adapt approach/outputs accordingly, thus maximising impact - Enter into ongoing dialogue with specific teams to further shape this and follow on work. Four further follow up meetings have taken place with specific individuals/teams and a publication (outlined below) has resulted from this work. |
| Impact | https://eprints.whiterose.ac.uk/189680/ |
| Start Year | 2021 |
| Description | Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) |
| Organisation | CycleStreets |
| Sector | Charity/Non Profit |
| PI Contribution | The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects. |
| Collaborator Contribution | The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects. |
| Impact | No outputs yet. |
| Start Year | 2022 |
| Description | Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) |
| Organisation | Department of Transport |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects. |
| Collaborator Contribution | The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects. |
| Impact | No outputs yet. |
| Start Year | 2022 |
| Description | Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) |
| Organisation | Ordnance Survey |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects. |
| Collaborator Contribution | The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects. |
| Impact | No outputs yet. |
| Start Year | 2022 |
| Description | Communication with Department for Transport - OpenInfra project (CDRC internship 2021-2022) |
| Organisation | University of Leeds |
| Department | Centre for Disability Studies |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | The above mentioned partners (except for University of Leeds, Centre for Disability Studies) are part of the steering group which meets every 2-3 months to discuss and advice on the direction of the OpenInfra (supervisors: R. Lovelace, V. Houlden, and E. Manley) project. This helps to tailor the project and its outcomes to make it as relevant to the policy-makers as possible. A project run at the Centre for Disability Studies has been invited to discuss the potential of open data for planning accessible and inclusive public spaces as well as discuss the potential of future collaborations between the two projects. |
| Collaborator Contribution | The partner provides expertise on active travel and the data needed to inform active travel planning in the UK. OpenInfra project highlights the importance of inclusivity and accessibility, hence a project team at the Centre for Disability Studies (University of Leeds) was contacted to discuss (in)accessibility of public spaces and potential intersections between the two projects. |
| Impact | No outputs yet. |
| Start Year | 2022 |
| Description | Connected Places Catapult - Business Fellowship Scheme |
| Organisation | Transport Systems Catapult |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Paul Evans was appointed Business Fellow at the Transport Systems Catapult which is now named the Connected Places Catapult from January 2019 |
| Collaborator Contribution | Enhancing knowledge of the CDRC throughout the academic network and within mobility / transport related companies. CDRC related projects started as a result of the partnership. Opportunities to influence policy |
| Impact | Connected Places Catapult / University of Leeds discovery day ONS Energy Data Visibility Discovery funding application ABM / Smart sensor project with CPC |
| Start Year | 2019 |
| Description | Contribution to training network convened by the National Centre for Research Methods (NCRM) |
| Organisation | University of Southampton |
| Department | ESRC National Centre for Research Methods |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | As part of a quarterly meeting of lead training contacts at data centres and investments from across the UK (known as the Data Resources Training Network), initiated by the NCRM in February 2021, the CDRC Centre Manager was invited to present on the research team's recent experience applying for accreditation of its data science short course training offer by CPD UK. Via the Centre Manager, the team continues to engage with this forum, and plans are in train for contributions to organisation of a webinar on social deprivation as a research theme. |
| Collaborator Contribution | The NCRM provide secretariat support for each of the meetings of the Data Resources Training Network (DRTN). |
| Impact | No research outputs applicable. |
| Start Year | 2022 |
| Description | Cuebiq - CDRC Internship 2020/21 (Interns Stuart Ross and George Breckenridge) |
| Organisation | Cuebiq |
| Country | United States |
| Sector | Private |
| PI Contribution | This partnership is governed by CDRC Data Sharing Agreements on the LIDA Intern Programme for Cuebiq mobile phone data which is being used to track responses to Covid restrictions in the UK. CDRC Business Support facilitated the contract and DSA for this intern project, and CDRC Co-Director Ed Manley is the project PI who has been leading the project team (and providing mentorship and supervision to) CDRC interns Stuart Ross and George Breckenridge, with support provided by CDRC affiliates at UCL. |
| Collaborator Contribution | Cuebiq have shared the data and their data infrastructure with the project team. |
| Impact | One blog post published in January on the CDRC website (URL above) which explored mobility responses to the Government change to policy over Christmas travel and mixing 2020. Case studies expected from the interns at the end of March 2020. |
| Start Year | 2020 |
| Description | DSDP project on Early Help Analytics - Michael Baidu with Leeds City Council |
| Organisation | Leeds City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | As part of the Government Data Accelerator Fund, for linking data to support trauma-informed practice and tackling adversity, Leeds City Council and the Leeds Institute of Data Analytics (LIDA) embarks on this 6-month project. The project is expected to identify factors correlated with lower levels of children's engagement in education and lower levels of return to school after the COVID lockdowns. It is anticipated that the research will provide insights for policy makers about which sub-groups of the population (e.g. by socio-economic group; geographical area; age) could potentially benefit from supportive interventions to address the ACEs that are associated with absence from school. |
| Collaborator Contribution | Funding, data and expertise. |
| Impact | Research findings shared with LCC with potential for policy impact; an impact case study written by the project data scientist Michael Baidu. |
| Start Year | 2022 |
| Description | DSDP: Approved Intent to Collaborate: Electronic/Online Word of Mouth (EWOM) DSDP in Collaboration with Morrisons |
| Organisation | Morrison Supermarkets plc |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Via the Data Scientist Development Programme (DSDP), the aim of the research is to investigate how resource scarcity influences grocery consumers' EWOM (Electronic/Online Word of Mouth) and how the effects of resource scarcity evolve over time. The research is investigating how comsumers react to resource scarcity via online word of mouth (twitter). Generally speaking, consumers EWOM swings between scarcity-reduction response (e.g., asking for a cheaper product option) and control-restoration response (e.g., showing more lenience towards vulnerable others, or consuming high-calorie food) over time. The academics will develop a programming function that the business partner can use to monitor the sentiment of consumers' EWOM on Twitter. Monitoring sentiment of consumers' EWOM on Twitter is important for businesses, as twitter sentiment is strongly associated with stock returns. They will also provide insights into dynamic change of consumers' response to resource scarcity, which helps the business partner to anticipate consumers' needs under scarcity and get prepared to meet consumers' needs. |
| Collaborator Contribution | Besides the data that we can collect, we also welcome partner/collaborator to provide matching datasets covering: 1. Data containing store geolocation and in-store foodbank donations at each location. This dataset can be used to study consumers' pro-social behavior (a type of control-restoration response) under scarcity. 2. Weekly cost of baskets and similar data that show the weekly change of product price, for example, weekly change of food price. This data can possibly work together with Twitter data to provide insights into customers' sentiment under scarcity. |
| Impact | Outputs from this research project include: 1. 4*/3* academic journal publications. 2. Conference paper and conference presentations at major conferences in marketing and data science. 3. A report of data-analysis results and implication to the businesses partner. The data scientist will lead the writing of this report. 4. A monitoring system (this might be a series of R programmes) on consumer sentiment, useful for businesses and policymakers to monitor consumer concern and wellbeing. We expect to have these research impact activities: - A network activity (a seminar, for example) with the business partner, policymakers and charities to disseminate the research findings and discuss the implication that helps the community mitigate the cost-of-living crisis. |
| Start Year | 2023 |
| Description | DSDP: Approved Intent to Collaborate: Perceptions of COVID Safety Measures in Guest Reviews from AirDNA Data |
| Organisation | AirDNA |
| Country | Spain |
| Sector | Private |
| PI Contribution | The landscape of the hospitality and tourism sectors changed drastically throughout the COVID-19 pandemic. As lockdowns were lifted, accommodation hosts contended with continuously evolving health and safety guidance. For Airbnb properties in particular, often hosted by non-professionals, guests couldn't expect consistency for thoroughness of compliance. Using AirDNA data previously acquired by CDRC, this work will examine Airbnb hosts' ability to meet guests' health expectations, based on perceptions derived from reviews. In contrast with publicly available Inside Airbnb data, the AirDNA data includes actual booking dates and revenue. Unsupervised segmentation of hosts and properties into categories will be performed, using features including hosts' status, time on platform, response metrics, revenue, listing type, booking cost, and maximum guests. Concurrently, reviews concerned with COVID-19 and topics around cleanliness will be identified, using fuzzy text matching or topic modelling. Sentiment analysis on this review subset will assess the performance of hosts/properties. Relationships between these sentiments and the host and property segmentation will be analysed. The data scientist can achieve quick wins with summary statistics for this recently acquired data, particularly regarding guest-written reviews of properties. They will get the opportunity to learn and apply knowledge of unsupervised classification methods and natural language processing techniques. |
| Collaborator Contribution | This projects uses already paid for AirDNA data, so we don't expect them to contribute further data per se. Our expectation is that if the DSDP participant ecounters any issues with the data, then a knowledgeable point of contact at AirDNA could potentially answer their questions more quickly and directly than a project supervisor could. Also, our plan is to check in with them monthly to present our progress, which provides the project with informal goalposts, and is an opportunity for AirDNA to potentially guide the course of the project if they have any insights to share. For example, if an intriguing pattern has emerged in the data, AirDNA could potentially identify it as an artefact of data collection that should be ignored, or alternatively confirm that it's of great interest to them. |
| Impact | The academics would expect to produce an academic paper, a derived dataset composed of categorisations of hosts/properties, and potentially a map or visualisation tool that shows geographic spread of types of properties (including properties that fared well/poorly against expectations of COVID-related health safeguards). |
| Start Year | 2023 |
| Description | DSDP: Intent to Collaborate: Can loneliness be modelled? Investigation of consumer loneliness models using Agent-Based Modelling |
| Organisation | Bradford Teaching Hospitals NHS Foundation Trust |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | This project is a clear intent to collaborate, pre approved by the research partner, Bradford Teaching Hospital Foundation Trust (BTHFT). BTHFT/Connected Yorkshire has agreen to work with us should CDRC funding be approved. I was tasked to find a partner for a DSDP research project on loneliness with Dr Aulona Ulqinaku, Associate Professor of Marketing, Leeds University Business School and Dr Jiaqi Ge, University Academic Fellow, School of Geography. In a climate of social distancing and emphasis on handling most of the activities online and in isolation rather than in person and in company, we are dealing with mental health deficit. Only 20% of respondents of the Community Life Survey in 2021 reported not feeling lonely, with almost 4 million reporting often being overburden by feelings on loneliness. This situation is burdening the NHS that is trying to outsource mental wellbeing to charities. Loneliness is a subjective feeling caused by lack of quality social connections, social rejection, exclusion, or marginalization. Prior research suggests different behaviour and coping mechanisms based on whether loneliness is to be considered a trait (i.e., chronic and long-term) or a state (i.e., short term and momentary). We believe that by investigating the different models of loneliness, we can get a better understanding of how to mitigate loneliness. Using agent-based modelling, the project aim is to model social connections, rejection, exclusion and marginalization-all strictly related to loneliness-by simulating the interactions between agents of different characteristics and state, who are connected in a social network with varying number of links and link strengths. |
| Collaborator Contribution | The partner will provide the academics with data including anonymized reports and notes from GPs and mental health reports. The datasets allow for matching between the mental health reports and the GP notes, to associate loneliness with other potential symptoms either mental or physical. |
| Impact | Planned outputs include: 1. To create an aggregated dataset that wIll be used for theresearch, containing information on these variables that will be used and collected. The aggregated data sets will be made available to add to the CDRC repository at data.cdrc.ac.uk. 2. Visualisations, e.g. CDRC Maps or other interactive outputs. 3. Work will be submitted to academic conferences but also out to calls such as Parliamentary Inquiries (e.g, https://committees.parliament.uk/work/7205/prevention-in-health-and-social-care/). 4. Academic paper in a marketing or public policy outlet (e.g., Journal of Public Policy and Marketing). |
| Start Year | 2023 |
| Description | Data Scientist Internship (Alex Coleman) - Extracting actionable insights from free text police data (08/10/2018-30/03/2019) |
| Organisation | Leeds City Council |
| Department | Safer Leeds |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Intern project is supervised by Dr Dan Birks who is part of the N8 police partnership -- training and data challenge opportunities hosted by the N8 partnership have been made available to the intern in order to help develop their work on extracting actionable insights from free text police data. |
| Collaborator Contribution | The intern has attended events hosted by the partner where discussion of critical ideas around categorising police data have helped with shaping the direction of the internship. |
| Impact | The intern has already presented findings at The Alan Turing Institute on 12th March 2019, and will be presenting at the LIDA seminar series on 28th March 2019. |
| Start Year | 2018 |
| Description | Data Scientist Internship (Alex Coleman) - Extracting actionable insights from free text police data (08/10/2018-30/03/2019) |
| Organisation | N8 Research Partnership |
| Country | United Kingdom |
| Sector | Learned Society |
| PI Contribution | Intern project is supervised by Dr Dan Birks who is part of the N8 police partnership -- training and data challenge opportunities hosted by the N8 partnership have been made available to the intern in order to help develop their work on extracting actionable insights from free text police data. |
| Collaborator Contribution | The intern has attended events hosted by the partner where discussion of critical ideas around categorising police data have helped with shaping the direction of the internship. |
| Impact | The intern has already presented findings at The Alan Turing Institute on 12th March 2019, and will be presenting at the LIDA seminar series on 28th March 2019. |
| Start Year | 2018 |
| Description | Data Scientist Internship (Ivana Kocanova) - Understanding customers' missions from the products they purchase - Sainsburys (08/10/2018-30/03/2019) |
| Organisation | Sainsbury's |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | 6 month intern project supervised by Prof Roy Ruddle and funded by the University of Leeds' EPSRC Impact Acceleration Account, exploring customers' shopping missions from the products they purchase. Data has been provided via the Quanticode partnership (which Ruddle leads) on customer purchases and the task of the intern is to trend analyse this data and produce visualisations which could help Sainsbury's target their stock more, with a potential impact on store layout etc. |
| Collaborator Contribution | Data on customer purchases has been shared by Sainsbury's for the intern's analysis. |
| Impact | Intern Ivana Kocanova has so far presented her findings at the 28th Feb LIDA seminar and at The Alan Turing Institute on 12th March 2019. |
| Start Year | 2018 |
| Description | Data Scientist Internship (Stelios Theophanous) - Synergy PRIME - Multi Level Modelling, Simulation, and Visualization (08/10/2019-30/03/2019) |
| Organisation | Transport Systems Catapult |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | Supervision by CDRC Co-Is Nik Lomax and Nick Malleson. Project simulates travel flows around Otley using Otley BID data in order to draw conclusions about traffic flows around Otley and extrapolate wider implications for town planning and infrastructure. |
| Collaborator Contribution | Engagement through Transport Systems Catapult- hosted seminars and events. |
| Impact | Intern Stelios Theophanous has been invited to speak at a Transport Systems Catapult event on the 5th March 2019. He has also spoken on his findings at The Alan Turing Institute on 12th March, and will be presenting his findings to LIDA at the Seminar series on 28th March 2019. |
| Start Year | 2018 |
| Description | Data Scientist Internship - Luke Archer - Improbable: Probabilistic Programming and Data Assimilation for Next Generation City Simulation (08/10/2018-30/03/2019) |
| Organisation | Improbable |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | 2x 6 month Data Scientist Intern Projects under the supervision of CDRC Co-I Nick Malleson, looking at Probabilistic Programming and Data Assimilation for Next Generation City Simulation, especially understanding agent-based models. Meetings between the interns, supervisors and Improbable are scheduled for every couple of months. |
| Collaborator Contribution | Keanu model developed as part of wider Improbable project is available for the intern to use. |
| Impact | Intern Luke Archer has already delivered his conclusions so far at the LIDA Seminar on 28th Feb and at The Alan Turing Institute on 12th March 2019. His paper has also been accepted at the 2019 GISRUK conference in Newcastle. |
| Start Year | 2018 |
| Description | Digime |
| Organisation | Digi.me Ltd |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | CDRC PhD student Ning Lu is leading on a joint project between CDRC and Digime. The project involves jointly developing an app which will use some of the technology Digime has developed to collect data from students (consented) on social media habits. The app will allow direct access to the participants social media activity and therefore the data collected will be primary. Its hoped that this pilot study will lead to more substantial research with the partner. |
| Collaborator Contribution | Expertise and technology in developing the app and software to collect the primary data. |
| Impact | na |
| Start Year | 2017 |
| Description | EMPOWER project |
| Organisation | EMPOWER project |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | HABITS research has provided additional, in-depth analysis of EMPOWER Take-Up-City data, bringing an increased understanding of a range of impacts from positive incentives and the value of new Track and Trace data. |
| Collaborator Contribution | Take-up-City operational infrastructure and outcomes. |
| Impact | This collaboration is multi-disciplinary, spanning data analytics, transport science, health, ICT, behavioural science. |
| Start Year | 2015 |
| Description | ESRC Collaborative Award studentship |
| Organisation | Callcredit Limited |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | I am the lead supervisor on this ESRC Collaborative award studentship, recruited the partners and submitted the funding application. I interviewed the student and continue supervision of the student. |
| Collaborator Contribution | Leeds City Council and Callcredit group contributed to the funding application, interviewing of the applicants. The partners will be involved with the supervisory team and research studyg ruop meetings. They will each host placement/project visits for the student. |
| Impact | Multidisciplinary. No outputs as yet. |
| Start Year | 2016 |
| Description | ESRC Collaborative Award studentship |
| Organisation | Leeds City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | I am the lead supervisor on this ESRC Collaborative award studentship, recruited the partners and submitted the funding application. I interviewed the student and continue supervision of the student. |
| Collaborator Contribution | Leeds City Council and Callcredit group contributed to the funding application, interviewing of the applicants. The partners will be involved with the supervisory team and research studyg ruop meetings. They will each host placement/project visits for the student. |
| Impact | Multidisciplinary. No outputs as yet. |
| Start Year | 2016 |
| Description | ESRC Industrial strategy studentship in Data Analytics and Society CDT - Active Inspiration |
| Organisation | Active Inspiration |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | I have been working with Active Inspiration for a number of years. My collaboration with them has resulted in them becoming a data partner for the CDRC and co-funding a PhD studentship. |
| Collaborator Contribution | Active Inspiration have contributed data and time to support our research. |
| Impact | Studentship and a conference presentation at ECTQG York 2017. |
| Start Year | 2016 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Cancer Research UK |
| Department | Edinburgh Cancer Research UK Centre |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Durham University |
| Department | Department of Geography |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Free University of Amsterdam |
| Country | Netherlands |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Leeds Beckett University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Leeds City Council |
| Country | United Kingdom |
| Sector | Public |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
| Department | Department of Clinical Research |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Northumbria University |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Queen's University Belfast |
| Department | Inhaled Antibiotics in Bronchiectasis and Cystic Fibrosis |
| Country | United Kingdom |
| Sector | Hospitals |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | Town & Country Planning Association |
| Country | United Kingdom |
| Sector | Charity/Non Profit |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University College Cork |
| Country | Ireland |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University of Cambridge |
| Department | Department of Surgery |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University of Lincoln |
| Department | Laboratory of Vision Engineering |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University of Liverpool |
| Department | Institute of Integrative Biology |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University of Nottingham |
| Department | Division of Epidemiology and Public Health |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University of Southampton |
| Department | Physics and Astronomy |
| Country | United Kingdom |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | ESRC Strategic Network for Obesity |
| Organisation | University of Washington |
| Country | United States |
| Sector | Academic/University |
| PI Contribution | Michelle Morris is Director of the ESRC Strategic Network for Obesity. Mark Birkin is PI. Other team members have contributed to organisation and attendance of meetings. |
| Collaborator Contribution | Partners in this collaboration have contributes to seminars, workshops and paper writing. |
| Impact | Multidisciplinary and multi-sector. Meetings recorded elsewhere. Outputs forthcoming. |
| Start Year | 2015 |
| Description | Emergent Alliance - Mark Birkin |
| Organisation | Elder Research |
| Country | United States |
| Sector | Private |
| PI Contribution | University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented on the Board are Rolls Royce, Google, IBM, Whitespace, Elder Research, Iotics and the ODI. Birkin has led in the design and administration of challenge statements, chairing the review panel which determines the focus and content of EA business. |
| Collaborator Contribution | Eight full members and 49 associate members (March 2021) contribute resources voluntarily to project teams which deliver analytics and reporting to meet agreed challenges with importance for society, economy and policy. To date twelve challenges have been supported, with results reported from five which have been preserved online, presented as policy briefs and promoted through all forms of media. |
| Impact | To date the Emergent Alliance has developed five products and services and addressed five challenges which are described on the EA website, details below: 1. Emergent Economic Engine - This app allows users to see how a shock to one sector of a national economy propagates throughout the national economic network and how it is eventually absorbed over time - essentially a 'what-if' type of simulation. 2. Emergent Alliance Chatbot - provides users with live international Covid travel advice, based on health and travel restriction measures. 3. Emergent Alliance Cookie Cutter - a labelling and data selection tool to help organise and manage Covid-19 infection datasets and anlyses. 4. International Travel Restriction Dashboard - shows users the entry limitations for foreign travellers for a selected country on the map, alongside any available travel destinations for that country. 5. DECISIONX:AIRBRIDGE - a platform aimed at policymakers and operational leaders in airport and airlines, which calculates and forecasts Covid-19 transmission risk along air-bridges (or travel corridors) between the UK and worldwide locations. There will be reports and legacy case study material with value to specific sectors (e.g. railway, airlines) and lessons/ recommendations for preparedness and resilience in future. Strengthened networks with a variety of business partners in EA (e.g. Rolls Royce, Microsoft, Reed). |
| Start Year | 2020 |
| Description | Emergent Alliance - Mark Birkin |
| Organisation | |
| Department | Google UK |
| Country | United Kingdom |
| Sector | Private |
| PI Contribution | University of Leeds is one of eight full members of EA, with Birkin sitting as a Director on the EA Board. The other full members represented |