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, and the Department of Statistical Science at University College London.

---

For our second talk in the series, we are delighted to welcome Dr Emma Pierson from Cornell University, who will be presenting on 'Using machine learning to increase equity in healthcare and public health'.

Abstract

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.

Speaker Bio