Leveraging Artificial Intelligence to Advance Chesapeake Bay Research and Management
The Chesapeake Bay is globally recognized for its long-term, science-based restoration effort, but informed decision making across the seven jurisdictions of the watershed requires a lot of data and modeling. Artificial intelligence (AI) and associated machine learning (ML) applications have emerged as powerful tools for analyzing large, complex datasets. How can these tools strengthen monitoring, modeling, and decision-making across the Chesapeake Bay watershed? This month’s CRC Roundtable will share key insights from a 2025 workshop convened by the Scientific and Technical Advisory Committee (STAC), where federal, state, and academic experts identified practical opportunities, challenges, and research gaps for AI/ML applications to the Chesapeake Bay and its watershed. Review the workshop report and materials here.
Join us on Wednesday, March 18th from 12-1pm to learn how artificial intelligence and machine learning can accelerate progress toward watershed agreement goals.
Speakers:
- Alison Appling, US Geological Survey
- Jian Shen, Virginia Institute of Marine Science
- Qian Zhang, University of Maryland Center for Environmental Science / EPA Chesapeake Bay Program Office
