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Sukwon Choi

  1. UNO
  2. School of Public Administration
  3. Research Centers
  4. Digital Governance and Analytics Lab
  5. Sukwon Choi
Sukwon Choi

Sukwon Choi

  • Doctoral Student

email:
sukwonchoi@unomaha.edu
office:
  • CPACS 116B
personal website:
LinkedIn

Additional Information

Bio

Sukwon Choi is a doctoral student in the School of Public Administration at the University of Nebraska at Omaha. He holds two master’s degrees in public administration, specializing in science and technology policy, from Seoul National University (South Korea) and the University of Southern California. He also completed intensive coursework in Electronics and Electrical Engineering at Dankook University (South Korea).

His research focuses on artificial intelligence (AI) governance and regulatory frameworks, particularly how governments design, implement, and evaluate institutional responses to emerging technologies. He is particularly interested in the evolving intersections of political environments, public policy, and technology, with a focus on developing responsible and adaptive governance structures. More recently, his work has centered on the adoption and use of sovereign AI, examining its implications for governance, national capacity, and technological independence. Before joining UNO, he served in the Korean government, where he analyzed and implemented science and technology policies, including those related to artificial intelligence and renewable energy.

 

Education

MPA, Public Administration, University of Southern California

MPA, Public Administration, Seoul National University

BA, Public Administration, Chung-Ang University

Publication/Dataset

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

Resh, W., Lee, E. K., Ming, Y., Yongjin, A., Darren, C., Sukwon, C., Anderson, L., Josephina, B., & Nicole, D. (2024). U.S. Federal public sector labor market dashboard (Version 1). USC CLEAR Initiative. https://www.uscclear.com

Additional Information

Bio

Sukwon Choi is a doctoral student in the School of Public Administration at the University of Nebraska at Omaha. He holds two master’s degrees in public administration, specializing in science and technology policy, from Seoul National University (South Korea) and the University of Southern California. He also completed intensive coursework in Electronics and Electrical Engineering at Dankook University (South Korea).

His research focuses on artificial intelligence (AI) governance and regulatory frameworks, particularly how governments design, implement, and evaluate institutional responses to emerging technologies. He is particularly interested in the evolving intersections of political environments, public policy, and technology, with a focus on developing responsible and adaptive governance structures. More recently, his work has centered on the adoption and use of sovereign AI, examining its implications for governance, national capacity, and technological independence. Before joining UNO, he served in the Korean government, where he analyzed and implemented science and technology policies, including those related to artificial intelligence and renewable energy.

 

Education

MPA, Public Administration, University of Southern California

MPA, Public Administration, Seoul National University

BA, Public Administration, Chung-Ang University

Publication/Dataset

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

Resh, W., Lee, E. K., Ming, Y., Yongjin, A., Darren, C., Sukwon, C., Anderson, L., Josephina, B., & Nicole, D. (2024). U.S. Federal public sector labor market dashboard (Version 1). USC CLEAR Initiative. https://www.uscclear.com

Additional Information

Bio Publication/Dataset

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