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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.
Solving the Snow Problem with Remotely Sensed Data
The Problem
Snow plays a critical role in storing and supplying fresh water to billions of people worldwide. In addition to the western US, it accounts for a significant portion of our water resources in areas like the Ganges and Indus River basins.
National Park Service Climate Change Decision Support
The Problem
The National Park Service (NPS) oversees vast protected lands in all fifty states, totaling 85 million acres (an area 12 times the size of Massachusetts). These lands serve as critical refuges in a changing climate, support threatened species, and act as vital carbon sinks, sequestering millions of metric tons of carbon dioxide annually.
Ending Plastic Pollution Forever.
The Problem
The global plastics problem is of urgent and growing concern that is exacerbating the climate crisis, creating threats to endangered species and at-risk ecosystems, putting human health at risk, and amplifying core environmental justice challenges.
Co-Design of Technology for Tribal Environmental Stewardship
The Problem
Wildlife populations have dropped by 69% in the past fi fty years, and the decline is only accelerating. In
the face of climate change, this loss of biodiversity will lead to the irreversible loss of ecosystem health
and presents an existential challenge to the future of life on Earth as we know it.
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.
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.