In this episode of Simons Institute Polylogues, Shafi Goldwasser (Director, Simons Institute) interviews Guy Rothblum (Weizmann Institute) about a new research collaboration applying techniques from the field of algorithmic fairness to determine which patients are most likely to develop severe cases of COVID-19.
- “Multicalibration: Calibration for the (Computationally-Identifiable) Masses,” by Úrsula Hébert-Johnson, Michael P. Kim, Omer Reingold, and Guy N. Rothblum.
- “Addressing Bias in Prediction Models by Improving Subpopulation Calibration,” by Noam Barda, Noa Dagan, Guy N. Rothblum, Gal Yona, Eitan Bachmat, Philip Greenland, Morton Leibowitz, and Ran Balicer [under submission].
- COVID-19 collaboration. Clalit Research Institute: Adi Berliner, Amichai Akriv, Anna Kuperberg, Dan Riesel, Daniel Rabina, Galit Shaham, Ilan Gofer, Mark Katz, Michael Leschinski, Noa Dagan, Noam Barda, Oren Auster, Reut Ohana, Shay Ben-Shachar, Shay Perchik Uriah Finkel, Yossi Levi. Technion: Daniel Greenfeld, Uri Shalit, Jonathan Somer. Weizmann Institute: Guy Rothblum, Gal Yona.
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