Are different populations unequally affected by climate change? This project will explore the intersection of climate data and energy justice, providing an introductory understanding of data science techniques in assessing disparate outcomes on vulnerable or underserved populations in the United States. By shedding light on energy disparities, the project aims to contribute to the ongoing discussions surrounding energy equity and inform policymakers and stakeholders for more inclusive energy initiatives. Energy justice refers to the equitable distribution of clean, affordable, and reliable energy resources among all communities, regardless of their socioeconomic status or demographic characteristics.
This project will focus on the analysis of climate data and low-income energy affordability data across the United States. The analysis will focus on examining energy consumption patterns, renewable energy adoption rates, and energy affordability across different geographical regions and demographic groups. To assess disparate outcomes, the project will employ various statistical techniques to compare energy-related indicators among vulnerable populations. This work may involve analyzing energy access in low-income neighborhoods, evaluating the impact of energy policies on marginalized communities, or examining the correlation between energy affordability and socioeconomic factors.
The findings of the analysis will be interpreted to gain insights into the disparities in energy justice and its impact on vulnerable populations. The project aims to identify areas where energy inequalities exist and provide a data-driven foundation for advocating for equitable energy policies and programs.
Project Leaders and Trainers:
Sam Foreman
Wilbur Ouma
Image source: https://www.anl.gov/ccrds/ClimRR