Data Analytics and Management is the branch of computer science that is concerned with extracting usable information from data. At LLNL, we’re working with data in many forms: text, images, videos, semantic graphs, and more. This data may be “at rest” in files or databases, or “in motion” as it streams in from sensors or other live sources. Our informatics research aims to gain insight from data that is very large, geographically distributed, complex, fast moving, or some combination of these characteristics. Applications for this work span a wide range of LLNL missions, including energy security and efficiency, biosecurity, computer security, and climate change. View content related to Data Analytics and Management.
Data science has become an essential discipline paving the path of LLNL’s key program areas, and the Laboratory is home to some of the largest, most unique, and most interesting data and supercomputers in the world. The Data Science Institute (DSI) is the central hub for all data science activity at LLNL working to help lead, build, and strengthen the data science workforce, research, and outreach to advance the state-of-the-art of our nation’s data science capabilities.
ADAPD—Advanced Data Analytics for Proliferation Detection—integrates subject-matter expertise from the DOE’s national laboratories to create new capabilities for analyzing growing global data streams and traditional intelligence data, enabling early warning of nuclear proliferation activities.
Protecting sensitive information has always been critical to Lawrence Livermore’s national security missions. In the digital age, a well-guarded door is not enough. For years, Weapons and Complex Integration (WCI) has used iSRD—short for Integrated Secret Restricted Data—to manage access to classified information. Similar systems are utilized across the Department of Energy (DOE) complex to facilitate collaboration between laboratories, plants, and strategic partners.
Researchers develop innovative data representations and algorithms to provide faster, more efficient ways to preserve information encoded in data.
