Now accepting MS & PhD students at KAIST

Seokbeom Kwon

Associate Professor · School of Business and Technology Management,
KAIST College of Business

I study how policy shape the production of science and technology.

Affiliated
Industrial & Systems Engineering · AX (College of AI)
Previously
Sungkyunkwan University · The University of Tokyo
PhD
Public Policy, Georgia Tech (2019)

Research keywords

science
innovation
data, patent

policy, competition, AI, government, knowledge, antitrust

emerging tech · quantum · nanomedicine · interdisciplinary · funding · bibliometrics

02Research

What I’m working on

i.

Science of Science and Innovation Policy

How funding, incentives, and institutions shape what gets discovered.

ii.

Research data policy

Open science mandates and their effects on the researchers who share.

iii.

Patent & IP policy

Antitrust, patent consolidation, and how IP institutions shape innovation.

iv.

Emerging tech & ML/AI

Tracking technological emergence; data, competition, and AI markets.

Methods Causal inference Bibliometrics & patent analytics Game-theoretic modeling Agent-based simulation

03Recent

Latest updates

2026

Publication Dual-use research under scrutiny in Science. Read →

2026

Award Best Paper Proceedings, TIM Division, Academy of Management Annual Meeting (for Data Exclusivity for Science).

2025

Grant NRF Korea three-year grant: “How does national security regulation shape science?” (2025–2028).

Jul 2025

New role Joined KAIST as Associate Professor, School of Business and Technology Management.

2025

Publication Competition or Diversion? published in Research Policy. Read →

2025

Editorial Joined the editorial board of Technology in Society (SSCI).

2024

Publication Underappreciated Government Research Support in Patents in Science. Read →

2024

Award Best Paper Proceedings & Best Paper Award Short List, TIM Division, Academy of Management.

See research highlights, visualized → See full publication list (30 articles) →

04Students

Join the lab

Now accepting MS & PhD applicants

Looking for the next cohort at KAIST BTM

Taking MS and PhD students at KAIST’s School of Business and Technology Management. Quantitative, data-driven, aimed at top journals.

  • Interested in quantitative studies on science, technology, and innovation
  • Comfortable processing data with programming
  • Basic knowledge of statistics or econometric analysis
  • Able to commit to a full-time graduate program
Email me with your CV

Please attach your CV. Undergraduate co-authors have published with me in top journals — the runway is real.