(Photo by Will Parson/Chesapeake Bay Program)

CRC Roundtable is a monthly virtual seminar series, to host targeted, inclusive, and informed conversations matching scientific advances and management needs in a way that moves us collectively forward toward decision-making for effective and sustainable management of the Chesapeake Bay, its watershed, and its living resources.

The lunchtime seminars invites a diverse range of researchers, managers, and other professionals to have timely conversations around topics relevant to the Chesapeake partnership. The seminars are designed to promote contribution, not just consumption, of information with short presentations followed by facilitated discussion among attendees. They provide a place for participants to “ask the clumsy questions”. The seminars also build connectivity across participating organizations and identify ways to increase our collective competency for decision making.

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Leveraging Artificial Intelligence to Advance Chesapeake Bay Research and Management

March 18th, 12-1 pm

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: