DATA 
SCIENCE
FOR
HEALTH
EQUITY

If you’ve ever looked at a dataset and wondered, “Who’s missing?” you already understand why the DSxHE Data Diversity Theme exists . This is an 18-month partnership between Data Science for Health Equity (DSxHE) and Cancer Research UK (CRUK), focused on helping the health research ecosystem make progress on diversity in data, research design, and reporting. Why this matters When datasets are not representative, research can be less accurate, less useful, and less fair. Two st

by Tanjina Islam Health inequities are often described through statistics: life expectancy gaps, service use differences and outcome variations. But behind those numbers are people whose lives rarely fit neatly into datasets. My journey from qualitative research to applied data science and PPIE has shaped how I think about what it means to use data for health equity and create sustainable, continuous change.   During my Master’s research, I explored how sociocultural context

We were delighted to host Carrie Alexander , for the latest instalment of our monthly informal meetup - The DSxHE Download. Title: AI Governance as a Knowledge Game The recording is just the presentation part of the session - this was followed by discussion and Q&A which we did not record. AI Ethics and Governance frameworks have proliferated in recent years, accompanied by criticism from hard law advocates who argue, for instance, that AI ethics frameworks are “useless” bec