By Jonah Brucker-Cohen

"Unequal Weather: Boston" is an AI-driven data visualization that examines environmental inequity across Boston neighborhoods in real time.

By pairing live meteorological feeds with local socioeconomic metrics, the installation utilizes machine learning models to continuously analyze and visualize the stark correlation between urban heat islands and systemic economic disparity. Data reveals that lower-income neighborhoods consistently experience significantly higher surface temperatures during extreme heat events compared to wealthier areas.

This thermal variance is a direct result of decades of uneven environmental investment, manifesting as a lack of urban tree canopy, fewer public green spaces, and a high density of heat-retaining asphalt and concrete surfaces in vulnerable communities. By deploying AI to process, interpret, and cross-reference these complex, disparate environmental datasets, "Unequal Weather" serves as a critical mirror—demonstrating how climate change does not impact us equally, but instead amplifies existing socioeconomic divides.