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"Machine learning in political science: Predicting congressional election outcomes"

A talk by Adam Bonica
"Machine learning in political science: Predicting congressional election outcomes"

Adam Bonica

Nov 09, 2018
from 02:00 PM to 03:30 PM

Kerr Hall 693

Adam Bonica is an assistant professor in the Department of Political Science at Stanford University. His research is at the intersection of data science and politics. His research interests include money in politics, campaigns and elections, judicial politics and political methodology. His research the American Journal of Political Science, Political Analysis, Journal of Economic Perspectives, Journal of Law, Economics, and Organization, JAMA Internal Medicine and other journals.