Ph.D. Candidate
Department of Politics
Princeton University
dahyunc@princeton.edu
Hello! I am a Ph.D. candidate in the Department of Politics at Princeton University, where I am affiliated with the Data-Driven Social Science Initiative and the Program for Quantitative and Analytical Political Science. I work on questions in interest group politics, lobbying, regulation, climate change, and American political institutions, using methods from computational social science and applied statistics. I also develop methodological tools to improve machine learning practices in political science.
Teaming Up Across Political Divides: Evidence from Climate Regulations
(Previously titled "Teaming up with the Enemy: Firms and the Information Environment of Climate Regulations."). Under Review.
Quantifying Informative Signals from Political Texts
(with Brandon Stewart and Denis Peskov). Under Review.
Learning from Noise: Applying Sample Complexity for Political Science Research
(with Perry Carter)
Scientification of Politics? Interest Group Influence on Bureaucratic Expertise in Climate Change
Investing in Team Efforts: When Agents with Contrasting Preferences Collaborate
How Interest Groups Strategically Take Advantage of Voter's Rational Inattention
A Measure of Charisma
(with Rocio Titiunik, Francesca Tang and Christian Baehr)
Preceptor, POL 574 Quantitative Method IV
Preceptor, POL 345 Quantitative Social Science
Preceptor, POL 245 Visualizing Data