Campus Labs and Departments

Berkeley Seismological Lab (BSL)

Berkeley Seismological Lab (BSL)

BSL supports fundamental research into all aspects of earthquakes, solid earth processes, and their effects on society through the collection, archival, and delivery of high-quality geophysical data and through fostering a dynamic research environment that connects researchers across disciplines and to geophysical observations systems.

California Census Research Data Center (CCRDCs)

The California Census Research Data Center (CCRDC) seeks to provide qualified researchers across California with the opportunity to perform statistical analysis on non-public Census microdata. CCRDC is a joint project of the U.S. Census Bureau and UCLA and UC Berkeley, partnering also with Stanford University and the University of Southern California. The secure RDC environment supports qualified researchers while protecting respondent confidentiality with state-of-the-art tools and processes. 

California Digital Library

In collaboration with the UC libraries and other partners, the California Digital Library has assembled one of the world’s largest digital research libraries and changed the way that faculty, students, and researchers discover and access information.

California Institute for Science and Innovation (QB3)

QB3 is one of four Governor Gray Davis Institutes for Science and Innovation established in 2000 to ensure the future of the California economy by promoting research and innovation. QB3 is a cooperative effort between the state of California; private industry; venture capital; and the University of California campuses at Berkeley, San Francisco, and Santa Cruz. QB3 harnesses the quantitative sciences of physics and engineering to unify our understanding of biological systems at all levels of complexity, from atoms and molecules to cells, tissues, and entire living organisms. QB3 scientists make discoveries that drive the development of technologies, products, and wholly new industries, ensuring that California remains competitive in the 21st century. 

Center for Causal Inference

The Center for Causal Inference and Program Evaluation seeks to further research on developing tools for making causal inferences in the social sciences. The study of causality has become increasing interdisciplinary, and the Center seeks to foster greater dialogue between the various disciplines that are contributing to the growing literature, including political science, economics, statistics, biostatistics, and computer science.

Center for Computational Biology (CCB)

CCB was established in 2003 through the Chancellor’s New Ideas Initiative, an outgrowth of the 2002 Strategic Academic Plan, to expand the research base at the university and produce the next generation of leaders in the fundamental and applied biological sciences. Administratively housed in the Berkeley component of the California Institute for Quantitative Biosciences, the mission of CCB is to support interdisciplinary research on the broad array of subjects that cover the interface between computation and biology and to foster graduate and undergraduate education in the field.

Center for Information Technology Research in the Interest of Society (CITRIS)

CITRIS creates information technology solutions for many of our most pressing social, environmental, and health care problems. CITIRS was created to “shorten the pipeline” between world-class laboratory research and the creation of start-ups, larger companies, and whole industries. CITRIS facilitates partnerships and collaborations among more than 300 faculty members and thousands of students from numerous departments at four University of California campuses with industrial researchers from over 60 corporations.

Center for Time Domain Informatics (CTDI)

CTDI came from the newly emerging discipline—time-domain astronomy and informatics—which involves astronomers, statisticians, and computer scientists. At the most basic level, they are interested in extracting optimal (and novel) information from a finite dataset of time-series data in a computational-constrained environment. In other words, they aim to understand the huge landscape of variable stars and transient events in the Universe, using computers (and in particular, machine learning) to do this more efficiently. 

Computational Cognitive Science Lab

Computational Cognitive Science Lab

The Computational Cognitive Science Lab's research goal is to understand the computational and statistical foundations of human inductive inference and to use this understanding to develop better accounts of human behavior and better automated systems for solving the challenging computational problems that people solve effortlessly in everyday life. They pursue this goal by analyzing human cognition in terms of optimal or "rational" solutions to computational problems.

Computational Cosmology Center (C³)

C³ is a focused collaboration of astrophysicists and computational scientists whose goals are to develop the tools, techniques, and technologies to meet the analysis challenges posed by present and future cosmological datasets. Members of C³ conduct research in a number of areas where high-performance computing is needed to support theoretical and observational cosmology or where massively parallel cosmology codes can help to drive computational science research and development.