Aaron Schein uses statistical models to understand and predict factors that drive voter turnout in U.S. political elections. With guidance from advisers David Blei and Donald Green, he works to measure causal effects of friend-to-friend voter mobilization efforts through large-scale digital field experiments. He partners with a voter mobilization app and a polling company that amasses survey response data from U.S. voters, to use modern data science to answer questions in political science.

DSI Postdoc Aaron Schein Discusses 2020 Election, Voter Mobilization with NBC News

Friend-to-friend texting may be the most effective voter mobilization tactic during 2020 election, COVID-19

Aaron Schein Uses Political Science, Linguistics and Computer Science to Understand and Predict American Voter Patterns