A Framework for Equity in Energy and Environmental Engineering

As diversity, equity, and inclusion continue to be among the nation鈥檚 most important focus areas, a 色花堂 researcher has created a framework to help his peers utilize more equitable data in their energy and environmental engineering studies.

One of 鈥檚 core research areas is America鈥檚 food consumption habits and how they affect climate change, specifically greenhouse gas emissions. The assistant professor in 色花堂鈥檚 looks at food intake across a number of groups, including socioeconomic status, race, and age. Using that data, he鈥檚 able to create models that better inform communities and assist policy makers.

However, the most consistent, thorough data he uses to develop those models are from 2005-2010. Five-year datasets before and after that timeframe aren鈥檛 standardized, as all sociodemographic groups are not included. This makes it difficult for Bozeman to draw comparisons that are inclusive of everyone across spatial scales and time periods.

It鈥檚 one reason why he and researchers at Carnegie Mellon University and the University of Colorado Denver have to help engineers, scientists, and community members standardize their data related to energy and environmental topics. Their goal is to integrate equity into these fields, a practice Bozeman and his colleagues call systemic equity. By doing so, they hope to create a system that all demographics of groups are included, including age groups, income levels, race, and ethnicity.