Through synthesis and data science, we accelerate discoveries that can inform solutions to today's environmental challenges.
The big picture. Team science. Solutions-oriented.
Those are ways to describe the research we do and enable to help nature and people thrive in our fast-changing, globalized world. That science includes synthesis research and data science.
We catalyze interdisciplinary and multi-sector collaborations among researchers, who bring together the data, expertise, and perspectives needed to solve large-scale environmental questions. This approach to discovery is called synthesis.
Our approach not only accelerates scientific knowledge, but also generates results that are well suited to inform policy and management. Learn more about our approach >>
Environmental Data Science
We make the discovery process more efficient, reproducible, and productive by developing tools and best practices in environmental data science that enhance researchers’ ability to access, share, integrate, and analyze data.
Data science entails the theories, techniques, and tools that allow scientists to turn big data into big knowledge. The end result is science that works better for society.