NEPAccess, developed by the University of Arizona, employs AI and data science to improve the National Environmental Protection Act (NEPA) environmental review process. The project uses generative AI to compile insights from previous projects and assist in drafting environmental impact assessments (EIAs) on specific topics. By integrating open data from federal agencies, NEPAccess provides public access to a centralized database of environmental reviews. The project was funded by the National Science Foundation (NSF) from 2021-2024 and is now seeking new funding to build new features into its platform.
Observatory of Examples of How Open Data and Generative AI Intersect
A growing observatory of examples of how open data from official sources and generative artificial intelligence (AI) are intersecting across domains and geographies.
Share your project for inclusion. We seek to learn from generative AI initiatives that use open government and research data across a Spectrum of Scenarios. More information on each scenario can be found in our report: A Fourth Wave of Open Data? Exploring the Spectrum of Scenarios for Open Data and Generative AI.