Jun Li

Assistant Professor

Education

BA in Economics and Trade, Zhejiang University, China
PhD in Public Administration, University of Illinois Chicago.

Research Interests

Jun’s research interests focus on urban governance and networks in governments and nonprofits affecting regional integration. With a mixed method of quantitative and qualitative analyses, and a specialty in social network analysis (SNA), her research centers around exploring partnerships between governmental and nonprofit entities to deliver public services, where governments balance their policymaking on service accountability, resource limitations, peer collaboration and competition, and social equity. Her other research interests also include bureaucratic representation and AI applications in public services for low-income communities of color.

Courses Taught

Research Design and Quantitative Analysis
American Government
Data Analysis and Programming (basic and advanced)
Nonprofit and Civil Society

Selected Publications

Peer-reviewed Articles
  • José Sánchez, Jun Li, Aamer Shaheen Ranjha, & Michael Siciliano. With a Little Help from My Friends? A Longitudinal Network Analysis on Fiscal Stress and Collaboration for Public Service Delivery. Urban Affairs Review,0(0). https://doi.org/10.1177/10780874231205464
  • Jiaqi Liang & Jun Li. Representative Bureaucracy: A Literature Review on Theories and Methodologies on Public Administration. Public Administration and Policy Review, 10(1), 154-168.
Book Chapters
  • Kelly LeRoux & Jun Li. Creating Public Value through Nonprofit Involvement in Public Service Delivery: The Case of Veterans Services. In Brian J. Cook (Ed.). Challenges to Public Value Creation: Knowledge, Authority, and Legitimacy. In press, Palgrave/Macmillan (ISBN 978-3-031-46029-6)
  • Michael Siciliano, Louise Comfort, Naim Kapucu, Seunghyun Lee, & Jun Li. Same Country, Different Stories: Context, Complexity, and Cognition in the United States. In L. K. Comfort & M. L. Rhodes (Eds.). Global Risk Management: The Role of Collective Cognition in Response to COVID-19. New York, NY: Routledge.
  • Jun Li, José Sánchez, Jered Carr, & Michael Siciliano. Local Governments and Shared Services: Insights on Institutional Mechanisms, Partners, and Purpose. In J. W. Meek (Ed.). Handbook of Collaborative Public Management (pp.179-195). Cheltenham, U.K.: Edward Elgar.
Reports

Honors and Awards

José Sánchez, Jun Li, Aamer Shaheen Ranjha, & Michael Siciliano. Sam Overman Best Paper Award by the Section for Complexity and Network Studies at American Society for Public Administration for A Longitudinal Analysis of Fiscal Stress and Local Government Collaboration.