Gilmore, Elisabeth A.

Elisabeth A. Gilmore

Assistant Professor

Energy and Environmental Policy

School of Public Policy


Statement of energy interests and expertise: 


Elisabeth Gilmore is an Assistant Professor in the School of Public Policy at the University of Maryland, College Park. Her research focuses on quantifying the costs and environmental attributes of energy and transportation technologies and policies for decision making. She earned a dual PhD in Engineering and Public Policy and Chemical Engineering from Carnegie Mellon University (CMU). In her PhD dissertation, she evaluated the costs, air quality and human health effects of different applications for distributed electricity generation. Specifically, she employed comprehensive air quality models to develop bottom-up site specific economic estimates of the human health damages and then used these values in benefit-cost analysis frameworks.
Prior to joining the University of Maryland, she held an AAAS Science and Technology Policy Fellow hosted in the Climate Science and Impacts Branch at the US Environmental Protection Agency. She was involved with the ongoing EPA efforts to develop a methodology to provide policy-relevant analysis about the US domestic benefits and risks from different climate change scenarios. She also worked on residential energy efficiency decision-making as a postdoctoral fellow in the Climate Decision Making Center at CMU, on the economics of alternative fuel/powertrains for passenger vehicles as a consultant for the Carnegie Bosch Institute and on natural resources and civil conflict as a researcher at the International Peace Research Institute, Oslo (PRIO). She holds a B.A.Sc and M.A.Sc in Chemical and Environmental Engineering from the University of Toronto, Canada.
Research areas: 
1. Characterization of air quality and GHG emissions of distributed electricity generation and electricity systems
2. Cost-effective interventions for residential energy efficiency and passenger vehicles
3. Technology, tariff design and program integration for demand response and energy efficiency