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 of Governance and Global Affairs
- Institute of Public Administration
- 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 M.M., Compton M., Bullock J.B. & Greer R. (2023), Complexity, errors, and administrative burdens, Public Management Review 26(10): 2847-2867.
- Le Thai V. & Young Matthew M.M. (2023), Regressive revenue sourcing by local governments, Urban Studies 60(5): 811-828.
- Rao Manita Musso Juliet Ann Young Matthew M. (2023), Resist, Recover, Renew: Fiscal Resilience as a Strategic Response to Economic Uncertainty, American Review of Public Administration 53(7-8): 296-315.
- 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. (2022), The impact of technological innovation on service delivery: social media and smartphone integration in a 311 system, Public Management Review 24(6): 926-950.
- Young M.M., Himmelreich J., Bullock J.B. & Kim K.-C. (2021), Artificial intelligence and administrative evil, Perspectives on Public Management and Governance 4(3): 244-258.
- Favero Nathen Jilke Sebastian Wolfson Julia A. Xu Chengxin Young Matthew M. (2021), Messenger effects in COVID-19 communication: Does the level of government matter?, HEALTH POLICY OPEN 2: ARTN 100027.
- Young M Himmelreich J Honcharov D Soundarajan S (2021), The Right Tool for The Job? Assessing the Use of Artificial Intelligence for Identifying Administrative Errors, {DG}.O2021: The 22nd Annual International Conference on Digital Government Research. : ACM.
- Bullock Justin Young Matthew M. Wang Yi-Fan (2020), Artificial intelligence, bureaucratic form, and discretion in public service, Information Polity 25(4): 491-506.
- Young Matthew M. (2020), Implementation of Digital-Era Governance: The Case of Open Data in US Cities, Public Administration Review 80(2): 305-315.
- Young Matthew M. Bullock Justin B. Lecy Jesse D. (2019), Artificial Discretion as a Tool of Governance: A Framework for Understanding the Impact o Artificial Intelligence on Public Administration, Perspectives on Public Management and Governance 2(4): 301-313.
- Musso Juliet A. Young Matthew M. Thom Michael (2019), Volunteerism as co-production in public service management: application to public safety in California, Public Management Review 21(4): 473-494.