Videos / Using machine learning to increase equity in healthcare and public health (52:56)

Using machine learning to increase equity in healthcare and public health (52:56)

Data Science for Health Equity

14 July 2026

Last Updated

1 January 2025

Our society remains profoundly unequal. Worse, there is abundant evidence that algorithms can, improperly applied, exacerbate inequality in healthcare and other domains. This talk pursues a more optimistic counterpoint -- that data science and machine learning can also be used to illuminate and reduce inequity in healthcare and public health -- by presenting vignettes from domains including policing, women's health, and cancer risk scores.

Organisation

Data Science for Health Equity

Data Science for Health Equity (DSxHE) is a global community that brings together students, researchers, practitioners, and policymakers dedicated to using data science to address and eliminate health disparities. Our mission is to foster an environment where interdisciplinary collaboration can flourish, leading to innovative solutions that promote health equity. Our main goals are to create community, raise awareness, improve individual practices, and influence institutional actions.