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Using data-intensive computing to address scientific challenges

New challenges facing scientists in a variety of fields such as biology, chemistry, physics, and astronomy are as much about data as about computation. We seek to further the understanding of these challenges, develop computational tools that will enable the advancement of scientific research, and catalyze discovery through funded collaborative research.

Learn about Earth, Energy, and Environment research

Our Earth, Energy, and Environment collaboration projects focus on the development and adoption of technologies for scientific visualization and data management—especially technologies that accelerate insight in the environmental and Earth sciences. More...

Learn about Health & Wellbeing research

Our Health and Wellbeing collaboration projects apply advanced computing technologies—such as data analysis, imaging, sensor networks, and visualization—to provide insight into disease and human healthcare.