Taegyoon Kim

Taegyoon Kim is an Assistant Professor at the School of Digital Humanities and Computational Social Sciences and holds a joint appointment at the Graduate School of Data Science at Korea Advanced Institute of Science and Technology (KAIST) in Daejeon, South Korea. Previously, he was a postdoctoral fellow at the Center for Science of Science and Innovation within the Kellogg School of Management at Northwestern University. He earned his Ph.D. in Political Science and Social Data Analytics from Pennsylvania State University.

Education:

• Ph.D. in Political Science and Social Data Analytics, Pennsylvania State University

Research Interests: His work integrates computational statistics, experimental methods, and large-scale data analysis to investigate digital politics, political communication dynamics, and science-policy interfaces. Key focus areas include violent political rhetoric on social media platforms, natural language processing applications in political contexts, and the interplay between technology, American politics, and science governance. His methodological approach emphasizes combining theoretical frameworks with advanced data science techniques.

Advising: Actively recruiting motivated students for M.S. and Ph.D. programs in Computational Social Science and Data Science through dual channels at KAIST's School of Digital Humanities and Computational Social Sciences and Graduate School of Data Science. Seeks candidates passionate about merging political theory with computational methodologies for large-scale data analysis.

Research Group: Leads a computational social science laboratory evidenced by active GitHub repositories including NLP coursework (nlp_24spring, nlp_25spring), political rhetoric analysis (violent_political_rhetoric_on_twitter), and digital democracy projects (dem_digital_23fw). Maintains significant research presence through 152 annual GitHub contributions and public code sharing.