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Charity Scott

PhD Student

Hometown: Indianapolis, Indiana

Undergraduate Institution and Major:
Butler University; Anthropology (BA); 2009

Graduate Institution and Major:
The O’Neill School, Indiana University—Indianapolis; Policy Analysis (MPA); 2019
Marian University; Master of Arts in Teaching (MAT); 2014

Research Interests:
Charity Scott’s research interests in education policy build from her experience as a classroom teacher in an urban setting as well as previous work with community organizations advocating for better education outcomes. Scott is interested in community-inclusive research, which keeps community issues at the forefront of her research questions. Scott is also interested in the influence of well-funded philanthropic and nonprofit initiatives on the policy process as it concerns education and the outcomes that have resulted from those influences. Lastly, she wants to explore the ways communities and individuals attempt to adapt the policy process to allow for community self-determination within education.

Funded Appointments:

  • Diversity Fellowship, The Ohio State University
  • University Fellowship, The Ohio State University

Relevant Professional Experience:

  • Graduate Research Assistant, Nonprofit Human Resource Management, The O’Neill School, Indiana University – IUPUI, Indianapolis, Indiana, 2017-2019

Teaching Experience:

  • Graduate Teaching Assistant; Undergraduate Research Methods; The O’Neill School, Indiana University—Indianapolis; Spring 2018 and Spring 2019
  • Secondary classroom; Lead Teacher; Public Schools in Indianapolis; 2012-2017
Portable Innovation, Policy Wormholes, and Innovation Diffusion
Environmental Policy and Management
August 07, 2019
This article explores the effects of city managers' career paths on the diffusion of climate policy innovation among municipal governments in the United States.
The COVID-19 Pandemic and Student Achievement on Ohio’s Third-Grade English Language Arts Assessment
COVID-19
January 27, 2021
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.
Whatever it Takes: Sexual Harassment in the Context of Resource Dependence
Social Policy
March 09, 2021
Research suggests powerful resource dependencies are present in the public and nonprofit sectors.
Glenn College Releases Review of Columbus Response to 2020 Protests
Civic Engagement, Advocacy and Volunteerism
April 26, 2021
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.
Resilience Decision Making in Repeated Disasters
Public Finance and Budgeting
June 07, 2021
The research, published in Environment Systems and Decisions Journal, examines resilience decision making in the context of repeated catastrophic events.
Maximizing the Efficiency of Active Case Finding for SARS-CoV-2 Using Bandit Algorithms
COVID-19
June 14, 2021
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.
Not All High-Growth Firms Are Alike: Capturing and Tagging Ohio’s Gazelles
Economics
June 29, 2021
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.
How the COVID-19 Pandemic Affected Student Learning in Ohio
COVID-19
August 27, 2021
Analysis of Spring 2021 Ohio State Tests
Informational Determinants of Large-area Hurricane Evacuations
Environmental Policy and Management
August 30, 2021
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.