Amy Goyal is an assistant vice president for state relations for The Ohio State University. She represents the university before legislative and executive branch officials, educational organizations and other state governmental entities. Prior to joining Ohio State in 2013, Goyal served as a member of Sean P. Dunn & Associates, where she represented the interests of a number of clients before the Ohio General Assembly and other state agencies. In addition to her role with the university, Goyal also serves on the Community Refugee and Immigration Services (CRIS) Board of Trustees. She received her bachelor’s and MPA from The Ohio State University.
This article explores the effects of city managers' career paths on the diffusion of climate policy innovation among municipal governments in the United States.
This report draws on data from the fall administration of Ohio’s annual Third-Grade English Language Arts assessment to examine how the COVID pandemic has affected student learning in the state.
In July 2020, Columbus City leaders commissioned an independent, outside after-action review of the City’s response to protests that took place last summer. Former U.S. Attorney for the Southern District of Ohio Carter Stewart and the John Glenn College of Public Affairs were named the lead investigative team.
The research, published in Environment Systems and Decisions Journal, examines resilience decision making in the context of repeated catastrophic events.
Using bandit algorithms, the authors of a paper in Medical Decision Making present and test an approach for finding otherwise undetected cases of COVID-19 before they lead to a widespread outbreak.
In this study, published in Economic Development Quarterly, the authors present a statistically valid typology of high-growth firms, also known as gazelles, to determine if payroll and job growth patterns differ between groups or clusters.
This study, published in the Bulletin of the American Meteorological Society, presents an experimental design that overcomes the counterfactual problem present in all prior published experiments by relying on an actual storm with a known outcome.
