DSML

Estimating Covid-19 Racial Disparity Using Machine Learning

Speaker

Gerard Torrats-Espinosa

Details

Join us for a special talk about the use of Data Science & Machine Learning. Gerard Torrats-Espinosa, Professor at Columbia University, will be diving into how machine learning was used to estimate the effect of racial segregation on COVID-19 mortality in the United States.There will be a Q&A session at the end, so bring any questions you might have for our guest.

Event type:

Speaker Series

Preparation:

None Required

November 17, 2022

8:00 pm

-

9:00 pm

November 17, 2022

Online

Zoom

While this event is FREE, tickets are required & space is limited!

Attend this event

About the speaker

Gerard Torrats-Espinosa

Data Scientist

Gerard is an assistant professor of Sociology at Columbia University and a member of their Institute for Data Science. His expertise is in the area of causal inference and experimental design.His work has been published or is forthcoming in the American Sociological Review, Child Development, Demography, Housing Policy Debate, the Journal of Housing Economics, the Journal of Urban Economics, and the Proceedings of the National Academy of Sciences.