Data science is an interdisciplinary field that integrates skills from computer science, statistics, information science, mathematics, visualization, data integration, and complex systems to extract insights from typically large datasets and apply those insights to solve problems across various domains.
From climate modeling to genomics to nuclear physics, increasingly precise sensors and ever-more powerful supercomputers are generating data at unprecedented rates. These enormous data volumes and incredible speeds enable scientists to tackle some of humanity’s greatest challenges—from investigating the origins of our universe to finding a cure for cancer. However, to achieve these breakthrough discoveries, scientists must first manage and make sense of this data deluge.
Berkeley Lab is also home to the Department of Energy’s (DOE’s) National Energy Research Scientific Computing Center (NERSC) and Energy Sciences Network (ESnet). As the mission high-performance computing facility for the DOE Office of Science, NERSC provides computational and data resources and expertise to more than 10,000 scientists annually, enabling open scientific research across a wide range of disciplines.
ESnet is the DOE’s high-performance, unclassified network built to support scientific research. It serves over 50 DOE research sites, including the entire DOE National Laboratory system, supercomputing facilities, and major scientific instruments, as well as connects to 270-plus research and commercial networks. By offering highly specialized, continuously evolving networking systems and innovative services, ESnet provides the foundation for an integrated research infrastructure that enables the nation’s scientists to collaborate on some of the world’s most important scientific challenges.
Our Research Pillars:
- Data Management
- Data Processing
- Math for Data
- Analysis and Visualization
- Cybersecurity
- Data Repositories and Sharing
- Self-Driving Networks
