About

Nathan Fox is an AI Scientist at the Michigan Institute for Data & AI in Society (MIDAS) and affiliated with the School for Environment and Sustainability at the University of Michigan. His research focuses on applying artificial intelligence to environmental science, biodiversity monitoring, and geodiversity research, with particular attention to reproducibility, ethical data use, and the integration of citizen-sourced data.

He leads several campus-wide initiatives aimed at improving AI literacy and adoption in research, including hands-on training programs, open-source model sharing efforts, and applied AI consultations. His work has contributed to methodological advances in ecosystem services assessment and has informed updates to international classification frameworks such as CICES.

The newsletter he curates highlights practical AI tools, models, and workflows that researchers can use across disciplines, with an emphasis on transparent methods, real-world applications, and responsible use of AI in research.