Associate Professor · KDI School

Park, Jaehyuk

KDI School of Public Policy and Management

Chair, Master of Data Science for Public Policy and Management · Sejong, Korea

I study the intersection of data science, computational social science, and public policy — using large-scale network data and machine learning to understand labor markets, AI governance, and the hidden structures that shape innovation and culture.

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Research Interests

Computational Social Science

Network analysis and large-scale data to reveal hidden structures in labor markets, culture, and innovation ecosystems.

AI & Public Policy

How governments and institutions both shape and are reshaped by artificial intelligence — from governance models to behavioral effects.

Labor & Innovation

Mapping the global flow of talent and skills, and understanding how technology transforms the structure of work over time.

News

Mar
2026 New paper published in EPJ Data Science: "Rap as a Social Reflection: A Quantitative Analysis of Social Conditions and Lyrical Expressions" (with Minsu Park, Fabio Rojas, Yong-Yeol Ahn).
Jan
2026 Promoted to Associate Professor at KDI School.
Jul
2024 Appointed Chair of the Master of Data Science for Public Policy and Management (MDS) program.
Apr
2024 Started writing a regular column for Dong-A Ilbo.

Selected Publications

2026

Rap as a Social Reflection: A Quantitative Analysis of Social Conditions and Lyrical Expressions

Minsu Park*, Jaehyuk Park*, Fabio Rojas, Yong-Yeol Ahn (* Contributed Equally)

EPJ Data Science
2024

Labor Space: Unifying Representation of the Labor Market via Large Language Models

Seongwoon Kim, Yong-Yeol Ahn, Jaehyuk Park* (* Corresponding Author)

The ACM Web Conference (WWW'24)
2019

Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters

Jaehyuk Park, Ian B. Wood, Elise Jing, Azadeh Nematzadeh, Souvik Ghosh, Michael D. Conover, Yong-Yeol Ahn

Nature Communications Press Coverage

View all publications →

In the Press

MIT Technology Review

Machine Learning Algorithm Predicts Which New Faces Will Make It as Fashion Models
Vogue

The Science of a Supermodel
New York Magazine

Can You Scientifically Predict a Model's Success?
CBS News

Who Will Be America's Next Top Model? Ask Instagram
AAAS / Phys.org

Researchers Create First-Ever 'Map' of Global Labor Flow
Communications of the ACM

Covered in Research Highlights

Contact

Open to research collaborations, speaking invitations, and conversations about data, policy, and society.

KDI School of Public Policy and Management
263 Namsejong-ro, Sejong-si, South Korea

jp@kdischool.ac.kr Google Scholar → Curriculum Vitae →