Sukwon Choi
- Doctoral Candidate
Bio
Sukwon Choi is a doctoral candidate in the School of Public Administration at the University of Nebraska at Omaha and a graduate research assistant in its Digital Governance and Analytics Lab. He holds master’s degrees in public administration from the University of Southern California and Seoul National University, where he specialized in science and technology policy. He also completed non-degree coursework in electrical engineering at Dankook University in South Korea.
His research focuses on AI governance, human–AI collaboration, and digital government. He examines how institutional arrangements and organizational contexts shape the adoption and use of AI, as well as how people interact with AI systems to make decisions. His dissertation investigates when, why, and for whom AI improves human decision-making, with particular attention to trust, appropriate reliance, and decision performance. His recent work also explores collaborative AI governance in tribal emergency management and the effects of generative AI on public employees’ performance.
Before joining UNO, he worked as a researcher at the Korea HRD Industry Association and as a policy consultant for the JeollaNamdo Provincial Government USA Office in Los Angeles. He completed MIT Professional Education’s “No Code AI and Machine Learning: Building Data Science Solutions” program. He currently serves as president of the WALDO Society, UNO’s public administration doctoral student organization.
Education
MPA, Public Administration, University of Southern California
MPA, Public Administration, Seoul National University
BA, Public Administration, Chung-Ang University
Publications
- Choi, S., Chen, Y.-C., Wang, Y.-F., Tsai, C.-H., Zendejas, E., & Krafka, S. Collaborative governance for accountable AI systems in tribal emergency management. In Dg.o 2026 - 27th Annual International Conference on Digital Government Research. University of Nebraska at Omaha, Omaha, NE.
- Choi, S., Sung, W., & Lee, J. (in press). Who perceives work performance improvements from generative AI use in government, early-stage diffusion? Exploring the roles of organizational power and motivation on work performance. Public Organization Review.
- Chen, Y.-C., Choi, S., Wang, Y.-F., Tsai, C.-H., & Zendejas, E. (in press). Effectiveness of collaborative AI governance for interjurisdictional emergency management. Public Organization Review.
- Choi, S., Sung, W., & Lee, J. (2025, May). Exploring generative AI effects on Korean civil servants’ performance: Power and motivation. In Conference on Digital Government Research (Vol. 1). https://doi.org/10.59490/dgo.2025.1032
- Choi, S., & Eom, S. J. (2024). Using Twitter to fight the COVID-19 pandemic: the case of United States governors. Public Management Review, 1–22. https://doi.org/10.1080/14719037.2024.2396078