Debbie Johnson served on the Upper Arlington City Council from January 2010 to January 2018. She served as vice president of council from 2014-2015 and president of council/mayor from 2016-2018. She has served on the Upper Arlington Community Improvement Corporation, the economic development arm of the city, and chaired the community’s sidewalk task force as well as the Community Facilities and Services Master Plan committee. She has also served on the Franklin County Planning Commission as a Commissioner Designate in 2015-2016. Johnson was awarded the 2012 Community Service award by the Upper Arlington Chamber of Commerce.
She is a graduate of the Jo Ann Davidson Ohio Leadership Institute and remains active in their programs. She is also president of Leadership Catalyst, where she has consulted with a variety of clients, with an emphasis on leadership development programs.
Among her community leadership roles, Debbie has served as president of the board for Women for Economic and Leadership Development (WELD) and is currently active on Otterbein Women’s Leadership Network at her alma mater, Otterbein University. She also serves on the John Glenn College Women in Leadership Commission.
In another leadership role, she is a founder of the Ross Leadership Institute, where she serves as the founding director and is responsible for the day-to-day activities of the Leadership Development Institute. Johnson specializes in connecting people to maximize the individual’s or organization’s leadership development.
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.
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.