Data science: The need for health equity

"Biomedical datasets are biased towards Western white rich men
typically. This means that historically underserved groups are
less likely to be represented in the data."


Today on The G Word, Maxine Mackintosh, the Programme Lead for
Diverse Data at Genomics England, is joined by Alisha Davies from
Public Health Wales and the Alan Turing Institute, and Brieuc
Lehmann, from UCL, and both of whom are involved in the data
science for Health Equity community.


They discuss the role of data and data science in promoting and
improving health equity. They also talk about the lack of
representation and diversity in genome research and how and why
this must change.