Assistant Professor, KAIST
School of Digital Humanities and Computational Social Sciences
Graduate School of Data Science
About
I am an Ewon Assistant Professor at the School of Digital Humanities and Computational Social Sciences and the Graduate School of Data Science, Korea Advanced Institute of Science and Technology (KAIST).
Previously, I was a postdoctoral fellow at the Center for Science of Science and Innovation at Kellogg School of Management, Northwestern University. I completed my Ph.D. in Political Science and Social Data Analytics at Pennsylvania State University.
I am a political scientist and computational social scientist who studies the relationship between information, technology, and democratic politics. My work asks two questions. First, how are digital technologies, especially artificial intelligence and social media, reshaping political representation, accountability, and polarization? Second, how do political institutions and processes shape what counts as legitimate knowledge, including scientific expertise, and how that knowledge informs public decision-making? I pursue these questions using large-scale data and computational methods—natural language processing and large language models, network analysis, and machine learning—alongside survey experiments and applied statistics.
I am looking for motivated students who are enthusiastic about integrating theoretical insights from political and social sciences with computational and statistical methods to leverage large-scale data for M.S. or Ph.D. degrees in Computational Social Science or Data Science. Recruitment will be through both School of Digital Humanities and Computational Social Sciences and Graduate School of Data Science.
If you have any questions, reach out to me at taegyoon@kaist.ac.kr.