Policy Briefings
Novel Data Linkages for Health and Wellbeing Turing Interest Group. (2024) The potential of digital footprint data for health & wellbeing research (Policy Briefing). The Alan Turing Institute. Read here
Blogs and Articles
Taylor, P. (2025, March 19). How a lack of period product regulation harms our health and the planet. The Conversation. Find out more here
Burgess, R. (2025, March 12). Could your shopping save lives? IFL Science. Read about it
Skatova, A., Fryer, L., Poon, N., Burgess, R., Suhag, A., Taylor, P (2024, October 21). Loyalty card data and public health. Smart Data Research UK. Read more here
Burgess, R., Skatova, A., & Morris, M. (2024, March 27). How your ‘digital footprint’ could unlock new insights in health research. The Alan Turing Institute. View the blog here
Taylor, P. (2024, June 27). Education is failing to prepare young people for periods: The problems and solutions. Women’s Environmental Network. Read the article here
Interview with BBC Inside Health on using shopping data for health research. The episode was first aired on the 21st of March 2023 and is available on BBC Sounds here.
Skatova, A., Morris, M., Goulding, J., Birkin, M., Lomax, N., Nica-Avram, G., Smith, A. Written evidence submitted to Science and Technology Committee – The right to privacy: Digital data (2022) Find out here
Boyd, A., Shiells, K., Di Cara, N., Skatova, A., Davis, O. S. P., Haworth , C. M. A., Skinner, A. L., Thomas, R. G., Tanner, A., Macleod, J. A. A., & Timpson, N. J. (2022). Participant acceptability of ‘digital footprint’ data collection strategies: evidence from the index participants of the ALSPAC birth cohort study. Economic and Social Research Council (ESRC). (2022) Check it out
Alan Turing Institute Spotlight blog, Can data offer insights into decision-making and wellbeing? Turing Fellow Anya Skatova explores the potential of using transactional data in population health research. (2020) Find out more.
Jean Golding Institute blog, Dr Anya Skatova, Bristol Turing Fellow, received the prestigious UKRI Future Leader Fellowship, 2020. Read the blog here!
Skatova, A.; Lorenz-Spreen, P.; Lewandowsky, S.; Leiser, M.R.; Herzog, S. (2019) Response to the Centre for Data Ethics and Innovation: [call for a] review of online targeting Read more
Buchanan, B., Cave, J., Crowcroft , J., Grindrod, P., Gomer, R., Ng, I., Ostmann, F., Simperl, E., Skatova, A., Smallman, M., Treleaven, P., Walker, J. (2019) Response of the Finance and Economics Programme, Alan Turing Institute to the BEIS and DCMS consultation on Smart Data Read about it
Shiells, K., Accessing transaction records for linkage in longitudinal cohort studies: how can researchers safeguard participants? (2019) Read more
Harris, A., Skatova, A., Vidgen, B., Raab, C., Hitrova, C., Dorobantu, C., Margetts, H., Crowcroft , J., Veale, M., Hills, T., (2019) Response of the Public Policy Programme, Alan Turing Institute to the DCMS and the Home Office’s Online Harms White Paper Read here
Skatova, A., “Guilty repair sustains cooperation, angry retaliation destroys it” published in Scientific Reports was featured in Daily Mail (2017). Read here.
Skatova, A., & Goulding, J. (2015, January 12). Donate your data – how your digital footprint can be used for the public good. The Conversation. Find out more here
Skatova, A. (2015, August 13). Don’t expect straight answers on data sharing from the firms that profit from it. The Conversation. Read here
Skatova A., The Conversation, Arts students are motivated more by love of subject than money or future careers. Read more.
Conference Abstracts
Burgess, R., Skatova, A., & Taylor, P. (2024). Understanding moderators of consent regarding the sharing of supermarket shopping data in ALSPAC. International Journal of Population Data Science, 9(4).
Poon, N., Haworth, C., Dolan, E., & Skatova, A. (2024). Studying Health and Illness Experience using Linked Data (SHIELD): Empowering customers to donate shopping data for chronic pain research. International Journal of Population Data Science, 9(4).
Taylor, P., Skatova, A., Howe, L., Fraser, A., & Knight, H. (2024). The role of inequalities in managing symptoms of menstruation: harnessing shopping data to innovate female reproductive health research. International Journal of Population Data Science, 9(4).
Skatova, A., Stewart, N., Flavahan, E., & Goulding, J. (2023). Daily, Weekly and Monthly Variation in Lunch Time Calories. International Journal of Population Data Science, 8(3).
Poon, N., Goulding, J., & Skatova, A. (2023). Behavioural entropy as an individual difference. International Journal of Population Data Science, 8(3).
Sivill, T., Ljevar, V., Goulding, J., & Skatova, A. (2023). What can transactional data reveal about the prevalence of menstrual pain in England?. International Journal of Population Data Science, 8(3).