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Jae Yeon Kim
Paul Pierson and Taeku Lee (co-chairs)
Computational Social Science
I am a data scientist/computational social scientist and a PhD candidate in Political Science at UC Berkeley. I am also a Graduate Fellow at the Data-intensive Social Sciences Lab (D-Lab) and Data Science Education Program at UC Berkeley and a co-organizer for the upcoming Summer Institute in Computational Social Science in the San Francisco Bay Area.
I use computational, experimental and survey methods to study what forms human attitudes, preferences, and behavior and what changes them in policy and organizational contexts. My award-winning dissertation applies computational methods to the historical study of coalitional politics among racial minority groups in the United States.
I've taught computational social science at the graduate level as a lead instructor. I am passionate about making data science accessible and inclusive.
Prior to coming to Berkeley, I worked in the tech industry in South Korea and was an activist for Creative Commons.
To visit my website, click here.