Image
SF Bay

Data-enabled solutions to our most pressing environmental challenges

Our Mission

The Eric and Wendy Schmidt Center for Data Science & Environment (DSE) combines the power of computing and environmental science with open science principles and a commitment to inclusivity—all towards the purpose of building tangible, replicable, and accessible solutions to problems compromising the health of our environment. We aim to co-create these solutions in direct partnership with those who hold the knowledge and expertise of their local needs and environmental context.

Launched in 2022, the DSE is a partnership between UC Berkeley's Department of Environmental Science, Policy, and Management and the College of Computing, Data Science, and Society, with the financial support of Eric and Wendy Schmidt.

News

Image
Annual Report

Schmidt DSE 2023 Annual Report

We are happy to share our 2023 annual report that highlights a foundational year for the Eric and Wendy Schmidt Center for Data Science & Environment and the work we are engaged in.

 

February 16, 2024
Image
DSE

Call for Postdoctoral Scholars - Environmental Science / Data Science

The Eric and Wendy Schmidt Center for Data Science & Environment (DSE) at UC Berkeley, along with an opportunity from our partners in the James M. and Cathleen D. Stone Center for Large Landscape Conservation, is accepting applications for multiple postdoc positions from recent PhDs in environmental science and/or data science fields interested in providing domain specific research that informs the development of data enabled solutions to our most pressing environmental challenges. 

January 16, 2024
Image
Plastics pollution

New global plastic policy tool illustrates data science center’s approach

Sam Pottinger spent years turning the latest advances in artificial intelligence and machine learning into models and dashboards that supported decision-making at Silicon Valley technology companies. At UC Berkeley, he's building those kinds of tools to turn quality environmental science into accessible, actionable information.

November 13, 2023