Michael Overton

Michael Overton is an Assistant Professor of Public Administration at the University of Idaho, where he focuses on data science, local government management, budgeting, and economic development. His interdisciplinary work bridges computational methods with public policy analysis, emphasizing equity and innovation in governance.

Education:

• Ph.D. in Public Administration (University of North Texas, 2015)
• M.P.A. in Public Administration (University of North Texas, 2014)

Overton's research explores the intersection of data-driven decision-making and traditional administrative practices. Key themes include generative AI applications, fiscal policy dynamics, and equity frameworks in community development.

His recent publications highlight trends in machine learning for revenue forecasting, spatial equity in federal grants, and the evolution of budgeting innovations. These works emphasize methodological rigor and policy relevance.