Faculty-Led Research Centers
The Stanford Data Science Centers convene faculty, researchers, and students around themes of common interest. Center-led seminars, conferences, and events help build multidisciplinary communities across campus. Center affiliates collaborate on research, jointly work with postdocs and research assistants, and participate in multidisciplinary activities with both Stanford and other partners. Stanford Data Science commits staff and financial resources to each center, often in partnership with other units on campus, and with support from corporate affiliates.
Causal Science Center
The Stanford Causal Science Center (SC²) aims to promote the study of causality and causal inference in both methodological and applied domains across campus.
Center for Open and Reproducible Science
The Stanford Data Science Center for Open and Reproducible Science (SDS-CORES) aims to promote the use of data science and other methods for making research more rigorous through the practice of reproducible research.
Center for Sustainability Data Science
The Center for Sustainability Data Science (SuDS) aims to foster community and enables interactions between data scientists and sustainability scientists to create innovative solutions.
Center for Data Science Research for Biomedical & Healthcare Innovations
The Center for Data Science Research for Biomedical & Healthcare Innovations aims to be a unifying force for increasing collaborations and providing shared datasets and computational infrastructure.
Center for Decoding the Universe
The Center for Decoding the Universe @ Stanford aims to build interdisciplinary collaborations that leverage complex data to infer how the universe works.