Project Description
Are different populations unequally affected by climate change? This project will explore the intersection of climate data and energy usage, providing an introductory understanding of data science techniques in assessing disparate outcomes on vulnerable populations in the United States. By shedding light on energy disparities, the project aims to contribute to the ongoing discussions surrounding energy usage and inform policymakers and stakeholders for more fair energy initiatives. We refer to the equitable distribution of clean, affordable, and reliable energy resources among all communities, regardless of their socioeconomic status or demographic characteristics.
This project focuses 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 different 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 usage 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.
