The Science Data Understanding Group carries out research and technology development in computational techniques to extract knowledge from science data, and distribute it to science users.

This past summer, 307 Caltech students and 97 students from colleges and universities around the world decided to spend their time SURFing in laboratories or in the field, instead of surfing a wave or the internet.

Terrestrial Hazards Observation and Reporting.

In the same way that the printing press heralded the start of the Renaissance and the study of physics helped to foster the Industrial Revolution, technological advances in computation and communication in the 20th century have set the stage for the Age of Information. Caltech has a unique and remarkable history of creating new CS X.

Physics Course Schedule and Websites. Moore Center for Theoretical Cosmology and Physics.

Cutting-edge research and development of the science of data, algorithms, software and its applications. Coordinates the research, development and operations of data intensive and data-driven science systems, methodologies and technologies across JPL Engineering, Science and Programs establishing a virtual center.

UW, NYU, and UC Berkeley. Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academia need to be overcome to maximize its impact and create supportive environments for researchers using develop data-intensive practices. We have created three Data Science Environments.