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Sukwon Choi

  1. UNO
  2. School of Public Administration
  3. Doctoral Student Directory
  4. Sukwon Choi
Sukwon Choi

Sukwon Choi

  • Doctoral Student
  • Research Areas: AI Governance, AI Regulatory Framework, Renewable Energy

email:
sukwonchoi@unomaha.edu

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

M.P.A. in Public Administration, University of Southern California

M.P.A. in Public Administration, Seoul National University

B.A. in Public Administration, Chung-Ang University

Publications

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

Honors and Awards 

Best Interdisciplinary Data Science Team, Center for Knowledge-Powered Data Science, University of Southern California (2023)

Pi Alpha Alpha National Honor Society (2023)

Prime Minister’s Award of the Republic of Korea – The 16th Fair-Trade Commission Mock Trial, Korea Fair-Trade Commission (2017)

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

M.P.A. in Public Administration, University of Southern California

M.P.A. in Public Administration, Seoul National University

B.A. in Public Administration, Chung-Ang University

Publications

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

Honors and Awards 

Best Interdisciplinary Data Science Team, Center for Knowledge-Powered Data Science, University of Southern California (2023)

Pi Alpha Alpha National Honor Society (2023)

Prime Minister’s Award of the Republic of Korea – The 16th Fair-Trade Commission Mock Trial, Korea Fair-Trade Commission (2017)

Additional Information

Bio Education Publications

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