Michael Rivera

My research is focused on how to increase civic and political engagement. I am especially interested in how campaigns and non-partisan groups can use data science to increase turnout among minority and low propensity voters. My research also explores how groups can use technological tools to encourage political activists to run for local office. 

I teach the research design fundamentals class (Research Design and Applications for Data and Analysis, W201) in the Master of Information and Data Science (MIDS) program.

I received my Ph.D. in political science from the University of California, San Diego. Before Berkeley, I taught at the University of Texas at Austin. 

Read more about my journey as a first-generation college student here. You can learn other fun facts about me here.