Matt Young
Assistant professor
- Name
- Dr. M.M. Young
- Telephone
- +31 70 800 9400
- m.m.young@fgga.leidenuniv.nl
- ORCID iD
- 0000-0002-9262-2346
Dr. Young’s primary research agenda focuses on public sector innovation implementation, particularly artificial intelligence (AI) and related technologies. His work examines how institutional arrangements and the fit between technology and task shape available policy choices, and lead to implementation success or failure.
More information about Matt Young
Dr. Young’s primary research agenda focuses on public sector innovation implementation, particularly artificial intelligence (AI) and related technologies. His work examines how institutional arrangements and the fit between technology and task shape available policy choices, and lead to implementation success or failure. This work has generated attention to the policy and management challenges presented by modern AI. It engages with scholars across disciplines, including computer science and engineering, philosophy, and communications. Dr. Young also conducts research on the political economy and institutional arrangements of public service provision. His work has appeared in top field journals such as Public Administration Review, Public Management Review, Perspectives on Public Management and Governance, and Information Polity, among others.
Assistant professor
- Faculty Governance and Global Affairs
- Instituut Bestuurskunde
- Compton Mallory E. Young Matthew M. Bullock Justin B. Greer Robert (2023), Administrative Errors and Race: Can Technology Mitigate Inequitable Administrative Outcomes?, Journal of Public Administration Research and Theory 33(3): 512-528.
- Young Matthew M. Compton Mallory Bullock Justin B. Greer Robert (2023), Complexity, errors, and administrative burdens, Public Management Review : .
- Le Thai V Young Matthew M. (2023), Regressive revenue sourcing by local governments, Urban Studies 60(5): 811-828.
- Huang H.I., Kim K., Young M.M. & Bullock J.B. (2022), A matter of perspective: differential evaluations of artificial intelligence between managers and staff in an experimental simulation, Asia Pacific Journal of Public Administration 44(1): 47-65.
- Young Matthew M. Himmelreich Johannes Bullock Justin B. Kim Kyoung-Cheol (2021), Artificial Intelligence and Administrative Evil, Perspectives on Public Management and Governance 4(3): 244-258.