Hello! I am an Assistant Professor at the KDI School of Public Policy and Management. I teach computational social science and civic data science and co-direct the school’s data science concentration program. I am also affiliated with the SNF Agora Institute at Johns Hopkins University, where I was a pre- and postdoctoral fellow. Since 2020, I have been working on the Mapping Modern Agora project (incubated at the SNF Agora) that utilizes big data and machine learning to map the U.S. civil society at scale. I received my Ph.D. in political science from UC Berkeley, where I was a Senior Data Science Fellow at D-Lab.
I study power, inequality, and political change drawing on computational, experimental, and archival methods. My research examines when (timing), why (motivation), and how (strategies) disadvantaged groups resist social inequality through organizing and collective actions. I am also interested in refining measures of identity and marginalization, investigating online harms, and using data and computing to strengthen civic engagement and democracy. My regional focus is the US, Canada, and East Asia.
My work has been published in or forthcoming at political science (e.g., Perspectives on Politics [2x], Political Research Quarterly, Studies in American Political Development, The ANNALS, and PS: Political Science and Politics) and computational social science journals and proceedings (e.g., Journal of Online Trust and Safety, Information Systems Frontiers, Journal of Computational Social Science, and ICWSM). My research has also appeared in popular outlets such as the Washington Post’s Monkey Cage and FiveThirtyEight.
I have two ongoing book projects. First, I am currently preparing the book version of my award-winning dissertation, tentatively titled “Racism Is Not Enough: Policy Origins of Multiracial America.” Second, I am also working on a primer on civic data science, titled “Civic Data: Using Data to Mature Democracy” (in Korean). This book is forthcoming by Sejong Books in 2023.
“Civil Society, Realized: Equipping the Mass Public to Express Choice and Negotiate Power.” (Hahrie Han+ and Jae Yeon Kim+) ANNALS of the American Academy of Political and Social Science, Online First in March 2022
“Teaching Computational Social Science for All.” (Jae Yeon Kim and Margaret Ng) PS: Political Science & Politics, Online First in February 2022
“Identity and Status: When Counterspeech Increases Hate Speech Reporting and Why.” (Jae Yeon Kim, Jaeung Sim, and Daegon Cho) Information Systems Frontiers, Online First in January 2022 replication
“COVID-19 and Asian Americans: How Elite Messaging and Social Exclusion Shape Partisan Attitudes.” (Nathan Chan, Jae Yeon Kim, and Vivien Leung) Perspectives on Politics, Online First in December 2021 replication
“Rewiring Linked Fate: Bringing Back History, Agency, and Power.” (Reuel Rogers+ and Jae Yeon Kim+) Perspectives on Politics, Online First in December 2021 replication
“Misinformation and Hate Speech: The Case of Anti-Asian Hate Speech During the COVID-19 Pandemic.” (Jae Yeon Kim+ and Aniket Kesari+) Journal of Online Trust and Safety, 2021, 1(1) replication
“Integrating Human and Machine Coding to Measure Political Issues in Ethnic Newspaper Articles.” (Jae Yeon Kim), Journal of Computational Social Science, 2021, 4(2), 585-612 replication (Winner of the 2020 Western Political Science Association Don T. Nakanishi Award)
“How Other Minorities Gained Access: The War on Poverty and Asian American and Latino Community Organizing.” (Jae Yeon Kim), Political Research Quarterly, Online First in December 2020 replication
“Racism Is Not Enough: Minority Coalition Building in San Francisco, Seattle, and Vancouver.” (Jae Yeon Kim), Studies in American Political Development, 2020, 34(2), 195-215 replication
“A Three-Step Guide to Training Computational Social Science Ph.D. Students for Academic and Non-Academic Careers.” (Aniket Kesari+, Jae Yeon Kim+, Sono Shah+, Taylor Brown+, Tiago Ventura+, and Tina Law+) Revise and Resubmit at Harvard Data Science Review
“Unbundling Linked Fate: How Survey Respondents Interpret Linked Fate Question.” (Jae Yeon Kim and Alan Yan) replication
“Thanks to Trump’s Rhetoric, Asian Americans Are Moving Toward the Democratic Party.” (Nathan Chan, Jae Yeon Kim, and Vivien Leung), Washington Post’s Monkey Cage, March 30, 2021
“The Three Tales of Chinatown: Why Racism Is Not Enough to Create a Race-based Coalition among Marginalized Groups.” (Jae Yeon Kim), UC Berkeley Canadian Studies Program, March 29, 2021
“Good Troublemakers Are the Key to Fixing Democracy in South Korea” (Jae Yeon Kim), Korea Pro, May 16, 2022.
“Why Teaching Social Scientists How To Code Like A Professional Is Important.” (Jae Yeon Kim), UC Berkeley D-Lab, September 23, 2020
“BAY-SICSS: Bridging Computational Social Scientists and Practitioners for Social Good.” (Jaren Haber, Jae Yeon Kim, and Nick Camp), Berkeley Institute of Data Science, September 15, 2020
“Five Principles to Get Undergraduates Involved in Real-world Data Science Projects.” (Jae Yeon Kim), SAGE Ocean, June 24, 2020
“How I Accidentally Became Interested in Data Science.” (Jae Yeon Kim), UC Berkeley D-Lab, February 24, 2020
I have developed open-source software that supports data curation.
MapAgora: R package for getting tax reports, websites, and social media handles related to nonprofit organizations in the United States (with Milan de Vries)
tidytweetjson: R package for turning Tweet JSON files into a cleaned and wrangled dataset
tidyethnicnews: R package for turning search results from the largest database on ethnic newspapers published in the United States (“Ethnic NewsWatch”) into a cleaned and wrangled dataset
I am an award-winning instructor and have taught computational social science in semester-long courses and short workshops. I have co-authored articles on making computational methods accessible to social scientists and advising social science students on data science careers. I wrote an open-access textbook for computational methods titled “Computational Thinking for Social Scientists.”
I love learning from other people who share similar research interests and building interdisciplinary communities. I have developed a large and growing network of collaborators across social sciences and engineering and co-organized the first partner location of the the Summer Institute in Computational Social Science (SICSS) in the Bay Area (2020, co-hosted by UC Berkeley and Stanford) and South Korea (2022, co-hosted by KAIST and KDI School).
Office: S320 (Office Hours: Friday 14:00-16:00, Please make an appointment via Calendly)
A summary of who I am. I was born and raised in South Korea, but I lived in Hong Kong and Taiwan by the time I finished college. While in college, I helped my alma mater launch its first massive open online course project (KU OCW), was an activist for the Korean branch of Creative Commons (a digital rights advocacy organization), and served on the user service advisory board of Naver—the largest Internet company in S. Korea. Upon graduation, I got involved in the Korean tech industry as a strategy manager at a software startup. I also published a book on how to get the best out of college, which sold more than 10,000 copies. I moved to the San Francisco Bay Area in 2014 for my graduate study and happily merged my four sides: an academic, a nerd, an entrepreneur, and an activist. When I don’t write and code, I listen to music and enjoy reading, cooking, and running. I ran my first half marathon in 2021 (The San Francisco Marathon; Finish: 2:03:26).
I’ve written some essays on my life journeys.