Population Evidence and Data Science

In partnership with the other ARC themes, this cross-cutting theme conducts research into how to better use data and increase its value on for population health. 


The Population Evidence and Data Science (PEDS) theme aims to support the better use of health and care data for research and to improve population health. 

Our approach

Our research is underpinned by community engagement and strategic partnerships with different communities (research, service and citizens). Our projects are aimed at developing evidence-driven local population health action. Key ways in which we aim to achieve our impact are through:

  1. Improving knowledge on how local communities and vulnerable populations can be involved in the drive to establish linked health and care records
  2. Research and innovation to enhance the value of population health data for both health services and researchers
  3. Facilitating engagement between researchers and health service policy-makers and practitioners around the access to and use of population health data
  4. Increasing awareness of available population health data and its potential use for research

Current projects

  • PEDS01: Using data to improve health: are the public engaged
  • PEDS02: Evidencing the Social Return on Investment of Age-Friendly Community Initiatives
  • PEDS03: Deep community co-working and co-production
  • PEDS04: Bespoke SHAPE Atlas for ARC East of England


Knowledge Exchange Seminar Series:     

PEDS - Knowledge Exchange Seminars-Exploring health inequalities through data

These seminars aimed to bring together researchers across the EoE ARC with an interest in better use of health and care data, provide an opportunity to share expertise in different types of data and create a forum to learn and exchange ideas.

Topic: Exploring health inequalities through data

This talk covered, why use data to understand health inequalities; using cohort data to understand health inequalities and using workforce data to understand inequalities and discussion on how can we maximise the use of data to understand health inequalities.


Dr John Ford, Clinical Lecturer in Public Health at the University of Cambridge and co-lead of the Health Inequalities Pillar of Cambridge Public Health. 

Dr Katie Saunders, Senior Research Associate at the University of Cambridge and statistician at the University of Cambridge Methods Hub.