Jae Yeon Kim

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Subfields: 
Computational Social Science
Personal Statement: 

I am a computational social scientist and a PhD candidate in Political Science at UC Berkeley. I am also a Data Science Fellow, a consultant, and an instructor at D-Lab at UC Berkeley and a co-organizer of the Summer Institute in Computational Social Science in the San Francisco Bay Area (BAY-SICSS).

I use data science to advance social science research on diversity and inclusion. My multi-methods dissertation examines what unites racial minority groups in the United States. My dissertation research has received the Don T. Nakanishi Award for Distinguished Scholarship in Asian Pacific American Politics and part of it is forthcoming in Studies in American Political Development. My most recent research project investigates intersectional bias in hate speech and abusive language datasets and appears in Proceedings of the Fourteenth International Conference on Web and Social Media (ICWSM), Data Challenge Workshop. I also developed and maintain three R packages (tidytweetjsontidyethnicnews, and makereproducible).

I am a proud recipient of the Outstanding Graduate Student Instructor Award. I have taught computational social science at both the graduate and undergraduate levels, including semester-long courses and short workshops. 

To visit my website, click here.

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