Forecasting AI’s public-service impact
The CAS framework evaluates complementarity, augmentation, and substitutivity across occupations to support responsible workforce planning.
View projectCLEAR studies the workforce, institutional, behavioral, technological, and political foundations of effective and accountable government.
Projects can be filtered by topic. The program deliberately connects individual experiences, organizational systems, political institutions, and labor-market outcomes.
The CAS framework evaluates complementarity, augmentation, and substitutivity across occupations to support responsible workforce planning.
View projectHow shutdown exposure changes recruitment, voluntary and involuntary separations, employee behavior, agency operations, and policy implementation.
View projectWhether remote eligibility changes the size, geography, composition, and quality of applicant pools—and how workplace flexibility functions as a labor-market amenity.
View projectHow presidents, Congress, agencies, and markets shape federal appointments, vacancies, procurement, contractor relationships, and implementation capacity.
View projectHow emotional labor, workplace messages, crisis conditions, leadership, and institutional procedures shape public employee attitudes and behavior.
View projectHow race, gender, generation, representation, inclusion, and organizational justice influence burnout, extra-role work, voice, and public-service careers.
View projectHow presidents centralize control, politicize expertise, reorganize administration, use contractors, and alter the institutional counterweights that sustain democratic accountability.
View projectA retrieval-augmented modeling framework for evaluating how generative AI may change tasks, skills, and occupational resilience in government.
View projectEstimating the value workers place on federal job stability by connecting shutdown exposure, wage differentials, and applicant behavior across public and private labor markets.
View projectARRC is a multi-institutional research network designed to document and explain rapid changes in public administration while building durable data and communities of practice.
Changes in agency capability, implementation, service delivery, and organizational performance.
Recruitment, exits, skills, professional knowledge, and the institutions that sustain public service.
How administrative change affects sectors, communities, regions, and democratic governance.
Shared data, documentation, methods, and access systems for cumulative public-interest research.
This selected list foregrounds the themes carried forward from the legacy site. A complete and continuously updated record is available through the director’s scholarly profile.
William G. Resh, Yongjin Ahn, Weijie Wang, and Keunyoung Eli Lee · Public Administration Review 85(6): 1682–1696
William G. Resh, Yongjin Ahn, and Donald P. Moynihan · Governance
Brian An, Cynthia Barboza-Wilkes, and William G. Resh · Public Administration
Cynthia Barboza-Wilkes, Thai V. Le, and William G. Resh · Journal of Public Administration Research and Theory 33(1): 186–201
Scott Limbocker, Jennifer L. Selin, and William G. Resh · Journal of Public Administration Research and Theory
William G. Resh, Cynthia Barboza-Wilkes, and John D. Marvel · Public Management Review
CLEAR projects use administrative records, job postings, surveys, experiments, qualitative evidence, text analysis, machine learning, network analysis, and quasi-experimental designs.