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A U.S. plant for aerating urban wastewater, purifying recycled water for industrial use.

Using Data Science to Enhance Environmental Law Enforcement

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Environmental laws protect our air, water, and land, but enforcement agencies often struggle with budget and resource limitations. This project, in partnership with the Environmental Protection Agency (EPA) and state partners, aims to modernize clean water enforcement using data science and machine learning. The project will develop and implement a model that uses satellite imagery to identify facilities lacking proper permits. It will also create natural language processing tools to help the EPA process tips about environmental crimes. This long-term collaboration seeks to improve environmental compliance and protection through advanced data analysis and infrastructure.

Project: Modernizing Environmental Compliance with Machine Learning
Funding Source: Realizing Environmental Innovation Program  
Funding Year: 2024
Research Areas: Freshwater, Sustainability 
Regions: North America

Research Team:
Daniel Ho (Law), 
Julian Nyarko (Law)

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