Yi-Fan Wang
- Assistant Professor, Department of Political Science, National Cheng Kung University, Tainan, Taiwan
Additional Information
Bio
Yi-Fan Wang, Ph.D., is an Assistant Professor in the Department of Political Science at National Cheng Kung University in Taiwan. He also serves as an Adjunct Research Fellow in the Digital Governance and Analytics Lab. His research highlights the significance of artificial intelligence (AI) in the public sector. Dr. Wang investigates AI issues from various perspectives, including co-creation, collaborative governance, data governance, and relevant theoretical lenses. He utilizes multiple research approaches and analytical instruments to study AI systems in public governance. Dr. Wang has published several research articles in highly reputational academic journals, such as Public Policy and Administration, Information Polity, and Sustainability.
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, Ph.D., is an Assistant Professor in the Department of Political Science at National Cheng Kung University in Taiwan. He also serves as an Adjunct Research Fellow in the Digital Governance and Analytics Lab. His research highlights the significance of artificial intelligence (AI) in the public sector. Dr. Wang investigates AI issues from various perspectives, including co-creation, collaborative governance, data governance, and relevant theoretical lenses. He utilizes multiple research approaches and analytical instruments to study AI systems in public governance. Dr. Wang has published several research articles in highly reputational academic journals, such as Public Policy and Administration, Information Polity, and Sustainability.
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).