Skip to main content

Data Science for Social Equality

Webinar Presented By:  Professor Emma Pierson, Computer Science, Cornell Tech - Cornell University, NY

Speaker Bio:  Emma Pierson is an assistant professor of computer science at the Jacobs Technion-Cornell Institute at Cornell Tech and the Technion, and a computer science field member at Cornell University. She holds a secondary joint appointment as an Assistant Professor of Population Health Sciences at Weill Cornell Medical College. She develops data science and machine learning methods to study inequality and healthcare. Her work has been recognized by best paper, poster, and talk awards, a Rhodes Scholarship, Hertz Fellowship, Rising Star in EECS, MIT Technology Review 35 Innovators Under 35, and Forbes 30 Under 30 in Science. Her research has been published at venues including ICML, AISTATS, KDD, WWW, CSCW, Nature, and Nature Medicine, and she has also written for The New York Times, FiveThirtyEight, The Atlantic, The Washington Post, Wired, and various other publications.

Abstract:  Our society remains profoundly unequal. This talk presents several vignettes about how data science and machine learning can be used to reduce inequality in healthcare and public health, focusing on applications from areas like women's health, COVID-19, policing, and pain.

Date and Time:  March 15, 2022 | 1 p.m.

Location:  Online

Free Event | All Welcome | Register Here

**Registration is required in order to receive the zoom link and passcode to attend this event.  Once you are registered, you will receive a confirmation email containing information about joining the meeting**

Unknown Spif - $key