Rutgers SPAA at MPSA 2026

Faculty and doctoral students from the School of Public Affairs and Administration (SPAA) participated in the Midwest Political Science Association (MPSA) 2026 Conference in Chicago, IL on April 23-26:

"AI in Policing and Perceived Legitimacy: Does Gender Representation Make a Difference?"
Canyu Gao and Norma M. Riccucci

“Discretion and Institutional Pathways to Women’s Bureaucratic Representation in Local Government”
Ricardo Bello-Gomez, Norma Riccucci, and Tomas Soto-Jara

"Displaced Complementarity: Technology and Human Capacity in the Organizational Production of Government Transparency"
Hyorim Seo and Gregory Porumbescu

"Does Representation Information Cause Anti-Gender Backlash: Evidence from an Information Experiment"
Ying Liu

“Following the Machine? How Latent Transparency Shapes AI Acceptance”
Nicolas Lagos

“Gender and Abortion Politics in the States” Panel
Ying Liu (discussant)

"Gender Dynamics in 311 Chatbot Use: A Survey Experiment on Public Perceptions of Government Responsiveness"
Ying Liu

"How Far Can She Go? Investigating Mobility-Advancement Trade-off for Female City Managers"
Ying Liu

"Ideology, Risk-taking, and Ambition in the Use of Performance Information by Local Politicians"
Ricardo Bello-Gomez and Jingyan Cheng

"LGBTQ+ Policy" Panel
Diego Galego (discussant)

"Performance Feedback and Multidimensional Performance in US Health Centers"
Jinah Yoo

“Perspectives on Contracting” Panel
Tomas Soto-Jara (discussant)

"Queer Policy Framework: Advancing the Public Policy Process Theories"
Diego Galego

"Subnational Governance in Latin America and the Caribbean: Contemporary Trends and Future Directions" Roundtable
Ricardo Bello-Gomez (participant)

"Understanding School and Teacher-level Drivers of Technology Use in the Classroom: Evidence from the Implementation of an Offline-First Learning Platform in Rural Honduras"
Lorena Cuenca

“When Does Human-in-the-Loop Increase Legitimacy? Exploring How AI Is Reshaping Administrative Discretion”
Nicolas Lagos

"When Governments Choose AI: Implications for Responsibility and Performance Assessment"
Canyu Gao and Ricardo Bello-Gomez