DATA 
SCIENCE
FOR
HEALTH
EQUITY

This event was co-hosted with PEDRI and explored how researchers can take a more thoughtful and practical approach to improving diversity in their patient and public involvement and engagement (PPIE) work. The session focused on supporting researchers to make their PPIE work more inclusive by highlighting current best practice and addressing common challenges, such as how to engage meaningfully with diverse communities and avoid tokenistic approaches. It included practical ex

The Statistical Methods for Health Equity Series  is a monthly online series co-hosted by the Data Science for Health Equity community , the Alan Turing Institute Health Equity Interest Group , and the Department of Statistical Science  at University College London. --- We are excited to present the next instalment of our webinar series with speaker Brandon Dominique - (Northeastern University) Title:  Post-Hoc Methods for Detecting and Correcting Subgroup Bias in Medical AI

Last month at Cancer Research UK’s Data-Driven Cancer Research Conference in Edinburgh, the DSxHE Data Diversity Theme led two engaging roundtables on From Data Gaps to Data Diversity in Cancer Research . Facilitated by Toral Gathani, Charlotte Misseldine and Mathew Tata,  the roundtables brought together a wide range perspectives from across the cancer research ecosystem. Working across the different stages of the research lifecycle, groups explored what inclusive research l