February 4-6, 2025 | Santa Barbara, CA

Hosted by the National Center for Ecological Analysis and Synthesis

Environmental Data Science (EDS) is a growing field of interdisciplinary approaches to investigating and answering environmental questions with modern data science tools. The field is broad, diverse, and expanding. This Summit aims to bring together all types of environmental data scientists to lay the foundation for a more cohesive and collaborative transdisciplinary community.

The goals of the Summit are to build community and foster collaboration within the Environmental Data Science community. This year’s theme is The Future of AI in Conservation & Management.

Participation

Applications will open in August.

Participation is limited to 100 attendees, with an application required. We are able to provide funding for up to 60 participants. Funding will cover travel to Santa Barbara, lodging, and the Summit registration fee. In order to attend you must first apply. Applications will be used both to select participation and award funding.

Participant attendance is not limited by sector, discipline, background, or career stage. If you use data to ask questions about our environment and how we interact with it, this Summit is for you!

Agenda

Coming soon…

Location & Lodging

The Summit will take place at the Cabrillo Arts Pavilion, situated adjacent to the beach.

The Mar Monte Hyatt Hotel is directly across the street from the Pavilion and will be the most convenient hotel for attendees. There are additional hotels within walking distance from the Pavilion.

Event Parking

If you are not staying at the Mar Monte Hotel, there is ample parking in city parking lots next to the Cabrillo Pavilion. Parking at these waterfront lots costs $3.00/hour or $18 for the day. There is free parking within a short walking distance along Cabrillo boulevard, near the East Beach volleyball courts and near Dwight Murphy Field.

Steering Committee

A Research Coordination Network, hosted by the National Center for Ecological Analysis and Synthesis and funded by the National Science Foundation.

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