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Research Centers

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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 (SCĀ²) aims to promote the study of causality and causal inference in both methodological and applied domains across campus.

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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.

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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.

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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 to provide shared datasets and computational infrastructure.

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