교수진
김서영 부교수 Kim, Seo Young (Associate Professor)

FIELDS OF STUDY
-
Political Theory & Meothodology 이론, 방법론
AREAS OF EXPERTISE
-
American Politics 미국정치
-
Political Methodology 정치학 방법론
-
Computational Social Sciences 계산사회과학
-
Political Behavior 정치행태
-
Elections 선거
-
Election Administration 선거관리
-
Money in Politics 정치자금
수급필요
국문
영문
학술 연구 및 기타
[1] Atsusaka, Yuki, and Seo-young Silvia Kim. 2025. “Addressing Measurement Errors in Ranking Questions for the Social Sciences.” Political Analysis. 1-22. DOI: https://doi.org/10.1017/pan.2024.33
[2] Kim, Seo-young Silvia, and Zhao Li. 2025. “Keep Winning with WinRed? Digital Fundraising Platform as the Party’s Public Good.” The Journal of Politics. DOI: https://doi.org/10.1086/735435
[3] Kim, Seo-young Silvia, Akhil Bandreddi, and R. Michael Alvarez. 2024. “Partisanship is why people vote in person in a pandemic.” Social Science Quarterly. 105(4): 1042-60. DOI: 10.1111/ssqu.13380
[4] Kim, Seo-young Silvia, Jan Zilinsky, and Brian Brew. 2024. “Donate to Help Us Fight Back: Political Fundraising and Toxic Rhetoric Online.” Party Politics: 13540688241235901. DOI: 10.1177/13540688241235901.
[5] Kim, Seo-young Silvia, and Jan Zilinsky. 2024. “Division Does Not Imply Predictability: Demographics Continue to Reveal Little About Voting and Partisanship.” Political Behavior. 46(1):67- 87. DOI: 10.1007/s11109-022-09816-z.
— Podcast interview at the Niskanen Center ’s The Science of Politics, May 19, 2021, “Is Demographic and Geographic Polarization Overstated?”
— Previously circulated as “The Divided (But Not More Predictable) Electorate: A Machine Learning Analysis of Voting in American Presidential Elections.”
[6] Kim, Seo-young Silvia. 2023. “Automatic Voter Reregistration as a Housewarming Gift: Quantifying Causal Effects on Turnout Using Movers.” American Political Science Review. 117(3): 1137-44. DOI: 10.1017/S0003055422000983.
— “Automatic Voter Reregistration Can Substantially Boost Turnout.” The Conversation. Nov 4, 2022.
[7] Kim, Seo-young Silvia. 2023. “Money in Politics: Self-Enrichment, Campaign Spending, and Golden Parachutes by Simon Weschle.” Political Science Quarterly, 138(3): 461-63. DOI: 10.1093/psquar/qqad047
[8] Kim, Seo-young Silvia. “Grumbach, Jacob M. 2022. Laboratories Against Democracy: How National Parties Transformed State Politics. Princeton: Princeton University Press.” Korean Journal of Legislative Studies 29(1): 207-212 (in Korean).
[9] Lopez, Jennifer, R. Michael Alvarez, and Seo-young Silvia Kim. 2022. “Latinos, Group Identity, and Equal Opportunity on the 2020 California Ballot.” Social Science Quarterly. 103(7): 1572–86. DOI: 10.1111/ssqu.13217.
[10] Cao, Jian, Seo-young Silvia Kim, and R. Michael Alvarez. 2022. “Bayesian Analysis of State Voter Registration Database Integrity.” Statistics, Politics and Policy 13(1): 19–40. DOI: 10.1515/spp- 2021-0016.
[11] Kim, Seo-young Silvia, Hannah Lebovits, and Sarah Shugars. 2022. “Networking 101 for Graduate Students: Building a Bigger Table.” PS: Political Science & Politics. 55(2): 307-12. DOI: 10.1017/S1049096521001025.
[12] Alvarez, R. Michael, Nicholas J. Adams-Cohen, Seo-young Silvia Kim and Yimeng Li. 2020. Securing Elections: How Data-Driven Election Monitoring Can Improve Democracy. Cambridge University Press. DOI: 10.1017/9781108887359
[13] Kim, Seo-young Silvia, R. Michael Alvarez, and Christina M. Ramirez. 2020. “Who Voted in 2016? Using Fuzzy Forests to Understand Voter Turnout.” Social Science Quarterly. 101(2): 978– 988. DOI: 10.1111/ssqu.12777.
[14] Alvarez, R. Michael, Jonathan N. Katz, and Seo-young Silvia Kim. 2020. “Hidden Donors: The Censoring Problem in U.S. Federal Campaign Finance Data.” Election Law Journal. 19(1): 1–18. DOI: 10.1089/elj.2019.0593.
[15] Kim, Seo-young Silvia, Spencer Schneider, and R. Michael Alvarez. 2020. “Evaluating the Quality of Changes in Voter Registration Databases.” American Politics Research. 48(6): 670– 676. DOI: 10.1177/1532673X19870512.
[16] Alvarez, R. Michael, and Seo-young Silvia Kim. 2019. Computational Social Science. In Oxford Bibliographies in Political Science. Ed. Sandy Maisel. New York: Oxford University Press. DOI: 10.1093/obo/9780199756223-0285.
[17] Korean translation of Gelman, Andrew et al. 2013. Bayesian Data Analysis, Third Edition. CRC Press. (e-Book publication at BookCube, 2020; one of eight translators).
[18] Kim, Seo-young Silvia. 2015. “Can Franchisor Efforts Discourage Its Franchisees? Evidence from South Korea.” The Comparative Economic Review. 22(1): 1–40. DOI: 10.23014/kace.22.1.201506.1
[19] “Thriving in Graduate School as an International Student: How to Combat the Hidden Costs and Barriers.” (with Melanie Sayuri Dominguez).
[20] “The Academic Job Market: Timeline, APSA, and the Packet.”
[21] Kim, Seo-young Silvia and Syngjoo Choi. 2015. “Game Theory and the Rational Man.” Physics and High Technology 24(2): 12-17. doi: 10.3938/PhiT.24.003 (in Korean)
학력
ㄱ. 학부: 서울대학교 사회과학대학 경제학과, 사회학과 (2014년)
Seoul National University, B.A. in Economics, B.A. in Sociology
ㄴ. 석사: 캘리포니아 공과대학 사회과학 석사 (2017년)
California Institute of Technology, M.S. in Social Sciences
ㄷ. 박사: 캘리포니아 공과대학 사회과학 박사 (2020년)
California Institute of Technology, Ph.D. in Social Sciences
경력
ㄱ. 서울대학교 정치외교학부 임용 이전 경력:
2024년~현재 서울대학교 정치외교학부 조교수
Assistant Professor, Department of Political Science, Seoul National University
2023년~2024년 서강대학교 정치외교학과 조교수
Assistant Professor, Department of Political Science, Sogang University
2020년~2023년 아메리칸대학교 정치학과 조교수
Assistant Professor, Department of Government, American University
ㄴ. 기타:
[1] 2023년~현재. 뉴욕대학교 법학부 브레넌 정의 센터(The Brennan Center for Justice at NYU School of Law) 사회과학 자문위원회 패널 회원
[2] 2021년~현재. 아메리칸대학교 데이터 과학 센터 (Center for Data Science) 교수 연구원
Faculty Fellow, Center for Data Science, American University.

FIELDS OF STUDY
-
Political Theory & Meothodology 이론, 방법론
AREAS OF EXPERTISE
-
American Politics 미국정치
-
Political Methodology 정치학 방법론
-
Computational Social Sciences 계산사회과학
-
Political Behavior 정치행태
-
Elections 선거
-
Election Administration 선거관리
-
Money in Politics 정치자금