Yi-Fan Wang
- Postdoctoral Researcher
Additional Information
Bio
Yi-Fan Wang is a Postdoctoral Researcher in the Department of Political Science at National Taiwan University and an Adjunct Research Fellow in the Digital Governance and Analytic Lab at the University of Nebraska at Omaha. His research emphasizes how artificial intelligence (AI) transforms cross-sector interaction in public governance, organizational structure and operation, bureaucratic forms and perceptions, and citizen participation in public affairs. Yi-Fan has published several research articles in academic journals, such as Public Policy and Administration, Sustainability, Information Polity, and Data & Policy. Recently, he has been working on the AI system co-design with tribal communities as his dissertation and developing conceptual frameworks for AI development and application in the public sector as research focuses. Yi-Fan can also teach various classes on public policy and management, research paradigms and methods, and digital governance.
Personal website: https://sites.google.com/view/yi-fanwang/home-page
Google Scholar: https://scholar.google.com/citations?user=cp5vNQQAAAAJ&hl=zh-TW
Research Interest
Digital Governance, Artificial Intelligence, Policy Implementation, and Phenomenology
Education
Ph.D., Public Administration, University of Nebraska at Omaha, U.S.A.
M.P.A., Public Management, National Taiwan University, Taiwan.
B.A., Political Science (Public Administration Major), National Taiwan University, Taiwan.
Selected Publications
Journal Articles
Wang, Yi-Fan., Chen, Yu-Che., and Chien, Shih-Yi. (2023). Citizens’ Intention to Follow Recommendations from a Government-Supported AI-Enabled System. Public Policy and Administration.
Chen, Yu-Che., Ahn, Michael., and Wang, Yi-Fan. (2023). Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector. Sustainability, 15(6).
Wang, Yi-Fan. (2022). Existence and Intentionality of Digital Transformation in Public Organizations: A Phenomenological Perspective. In DG. O 2022: The 23rd Annual International Conference on Digital Government Research (pp. 400-409) (ACM Proceeding).
Kuzio, Jacqueline., Ahmadi, Mohammad., Kim, Kyoung-Cheol., Migaud, Michael R., Wang, Yi-Fan., and Bullock, Justin. (2022). Building better global data governance. Data & Policy, 4.
Bullock, Justin., Young, Matthew., and Wang, Yi-Fan. (2020). Artificial Intelligence, Bureaucratic Form, and Discretion in Public Service. Information Polity, 25(4), 491-506.
Awards/Grants
Award
The 2023 Digital Governance Junior Scholar Award
Section on Science and Technology in Government, American Society for Public Administration, Washington, D.C., U.S.A.
Grant
“Artificial Intelligence in Public Governance: Chatbot Applications in State Governments.” Graduate Research and Creative Activity (GRACA) Grant Office of Research and Creative Activity, University of Nebraska at Omaha ($5,000).
Additional Information
Bio
Yi-Fan Wang is a Postdoctoral Researcher in the Department of Political Science at National Taiwan University and an Adjunct Research Fellow in the Digital Governance and Analytic Lab at the University of Nebraska at Omaha. His research emphasizes how artificial intelligence (AI) transforms cross-sector interaction in public governance, organizational structure and operation, bureaucratic forms and perceptions, and citizen participation in public affairs. Yi-Fan has published several research articles in academic journals, such as Public Policy and Administration, Sustainability, Information Polity, and Data & Policy. Recently, he has been working on the AI system co-design with tribal communities as his dissertation and developing conceptual frameworks for AI development and application in the public sector as research focuses. Yi-Fan can also teach various classes on public policy and management, research paradigms and methods, and digital governance.
Personal website: https://sites.google.com/view/yi-fanwang/home-page
Google Scholar: https://scholar.google.com/citations?user=cp5vNQQAAAAJ&hl=zh-TW
Research Interest
Digital Governance, Artificial Intelligence, Policy Implementation, and Phenomenology
Education
Ph.D., Public Administration, University of Nebraska at Omaha, U.S.A.
M.P.A., Public Management, National Taiwan University, Taiwan.
B.A., Political Science (Public Administration Major), National Taiwan University, Taiwan.
Selected Publications
Journal Articles
Wang, Yi-Fan., Chen, Yu-Che., and Chien, Shih-Yi. (2023). Citizens’ Intention to Follow Recommendations from a Government-Supported AI-Enabled System. Public Policy and Administration.
Chen, Yu-Che., Ahn, Michael., and Wang, Yi-Fan. (2023). Artificial Intelligence and Public Values: Value Impacts and Governance in the Public Sector. Sustainability, 15(6).
Wang, Yi-Fan. (2022). Existence and Intentionality of Digital Transformation in Public Organizations: A Phenomenological Perspective. In DG. O 2022: The 23rd Annual International Conference on Digital Government Research (pp. 400-409) (ACM Proceeding).
Kuzio, Jacqueline., Ahmadi, Mohammad., Kim, Kyoung-Cheol., Migaud, Michael R., Wang, Yi-Fan., and Bullock, Justin. (2022). Building better global data governance. Data & Policy, 4.
Bullock, Justin., Young, Matthew., and Wang, Yi-Fan. (2020). Artificial Intelligence, Bureaucratic Form, and Discretion in Public Service. Information Polity, 25(4), 491-506.
Awards/Grants
Award
The 2023 Digital Governance Junior Scholar Award
Section on Science and Technology in Government, American Society for Public Administration, Washington, D.C., U.S.A.
Grant
“Artificial Intelligence in Public Governance: Chatbot Applications in State Governments.” Graduate Research and Creative Activity (GRACA) Grant Office of Research and Creative Activity, University of Nebraska at Omaha ($5,000).