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Jae Yeon Kim
I am a PhD candidate in Political Science and a D-Lab Senior Data Science Fellow at UC Berkeley and a Visiting Fellow at P3 Lab at SNF Agora Institute at the Johns Hopkins University. I study political learning, organizing, and mobilization among marginalized populations using data science. I also build tools that make digital data collection easier and faster.
My dissertation provides an original large-scale dataset and research software that enable data-intensive historical research on the politics of racial and ethnic minority groups. This project won WPSA’s Don T. Nakanishi Award for Distinguished Scholarship and Service in Asian Pacific American Politics. Portions of this work are published in Studies in American Political Development and conditionally accepted at the Journal of Computational Social Science.
My research on bias in machine learning applications appears in Proceedings of the Fourteenth International Conference on Web and Social Media (ICWSM), Data Challenge Workshop.
Teaching Computational Social Science
I am a proud recipient of the “Outstanding Graduate Student Instructor Award” and have taught computational social science at both graduate and undergraduate levels in semester-long courses and short workshops. I have served as a Data Science Education Program Fellow at UC Berkeley and advised more than 40 applied data science projects, working with community partners and undergraduate students. I also co-organized the Summer Institute in Computational Social Science in the San Francisco Bay Area with a thematic focus on using computational social science for social good. I am currently working on a book project titled "Computational Thinking for Social Scientists."
Dissertation Committee Chair:
Taeku Lee and Paul Pierson (co-chairs)
Race and Ethnic Politics
Methodology & Formal Theory