Healthcare and Social Policy

The DSI aims to host, facilitate and promote research in social and economic data science

Immense amounts of data are available from the field of health and social care, but how can we ensure that they are used effectively and appropriately to support practical decisions at all scales without compromising the privacy and interests of individuals?

During the COVID-19 pandemic, we have seen rapid innovations in data science but also the potential for miscommunication, misunderstanding and abuse of data.

Our research theme is centred around supporting the socially beneficial use of data in the healthcare context.

This page is currently under development as the DSI expands its range of activities. Contributions to DSI research are being actively sought. Please get in contact in order to become involved.

Current DSI activity

DSI Staff

DSI Affiliates


Dr Marcos Barreto

Assistant Professorial Lecturer - Department of Statistics

Research interests: Artificial Intelligence, Big Data Linkage & Analytics, Data Science, High-Performance Computing. See website for more information.


Dr Chris Blunt

Assistant Professorial Lecturer and Co-Director of LSE100

Research interests: Philosophy of medicine, artificial intelligence, evidence and ethics, Evidence-Based Medicine, hierarchies of evidence, machine learning, natural language processing, clinical trial design, diagnostics.

K Kalogeropoulos

Dr Kostas Kalogeropoulos

Assistant Professor - Department of Statistics

I am involved in two projects. The first is in stochastic modelling of the COVID-19 pandemic and evaluation of public healthpolicies across different countries. The second is on benefit-risk analysis for drug evaluation, using Bayesian inference and latent variable modelling.

Chengchun Shi

Dr Chengchun Shi

Assistant Professor - Department of Statistics

My research lies in reinforcement learning and analysis of complex data, with applications to healthcare, ridesharing and neuroimaging.

L Vegh

Professor László Végh

Professor - Department of Mathematics

Research interests: Statistical machine learning with focus on information theory, kernel methods, scalable computation.

DSI Visiting Staff


John Burn-Murdoch

Visiting Senior Fellow


Are you working on this topic? See your research published here by submitting an application to become a DSI Affiliate or to join our Visiting Appointment Scheme.

All applications are welcomed to these schemes that allow staff from across LSE and from other institutions to benefit from special access to DSI resources. Find out more here or via email.


Related LSE research

The strong research community at the London School of Economics also takes an interest in this research theme. As the cornerstone of data science at LSE, the DSI acts as a nexus for research and learning, working alongside other Departments and Institutes across the School.

The Care Policy and Evaluation Centre (CPEC) is a leading international research centre carrying out world-class research in the areas of long-term care (social care), mental health, developmental disabilities, and other health issues - across the life course - to inform and influence policy, practice, and theory globally