BIDS training programs reflect our commitment to augment degree programs and provide valuable, accessible resources that expand collaboration opportunities for the campus community.

Cross Domain Initiatives (XDs)

BIDS’ XDs are cross-disciplinary research communities working together to identify common principles, algorithms and tools to advance research and break down the boundaries between domains, and to foster exchange and new collaborations among like-minded researchers.
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GraphXD - Graphs Across Domains

BIDS GraphXD is a cross-domain initiative that promotes interdisciplinary collaboration and training for researchers, scientists, and theorists interested in using graphs and network analysis for applications in a variety of fields across STEAM including (but not limited to) anthropology, art,... more
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ImageXD - Images Across Domains

BIDS ImageXD (Images Across Domains) convenes researchers, scientists, and theorists (of all learning levels) who work with images as a primary source of data, to learn about the latest developments in a wide range of research domains and to promote interdisciplinary... more
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TextXD - Text Analysis Across Domains

TextXD brings together researchers from across a wide range of disciplines, who work with text as a primary source of data, whether they identify as computer, social, data, or information scientists, including linguists. We work to identify common principles, algorithms and tools to advance text-... more

Fellowship Programs

BIDS fellowship programs for postdoctoral and graduate student researchers cross boundaries in fields ranging from astrophysics, biostatistics, and hydrology, to financial modeling, machine learning, social welfare, and the health sciences.
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BIDS Data Science Fellowship Program

The BIDS Data Science Fellowship Program is a 2-year research training program open to postdocs (and in some cases, late-stage graduate students) at UC Berkeley, LBNL or UCSF, who are dedicated to advancing data science and undertaking innovative, cross-disciplinary data-intensive research.... more
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Computational Social Science Training Program

The UC Berkeley Computational Social Science Training Program (CSSTP) trains predoctoral students representing a variety of degree programs and expertise areas in the social sciences, including demography, public health, public policy, social epidemiology, social welfare, and sociology. 2021... more
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Innovate For Health

The Innovate For Health program was initiated in June 2019 as a collaboration between BIDS at UC Berkeley, the Bakar Computational Health Sciences Institute (BCHSI) at UCSF, and Janssen Research & Development, LLC (part of the Janssen Pharmaceutical Companies of Johnson & Johnson),... more

Internship Programs

BIDS internships augment the Berkeley undergraduate research experience by providing engaging opportunities for undergraduate students representing a wide variety of academic disciplines.
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BIDS Undergraduate Internship Program

BIDS Undergraduate Internships provide a variety of engaging data science research opportunities through UC Berkeley's Undergraduate Research Apprentice Program (URAP). BIDS Data Science Fellows, Faculty and Research Affiliates, and Staff mentors enlist undergraduate students to... more


BIDS Forums are interdisciplinary discussion groups addressing timely topics and information, offered in an informal setting, and open to our wider community, including all interested members of the UC Berkeley, UCSF, LBL and LLNL communities.
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'Information and Uncertainty in Data Science' Discussion Forum

The 'Information and Uncertainty in Data Science' Discussion Forum is a forum for open inquiry and discussion about a wide range of recurring data science fundamentals, including information, uncertainty, entropy, bits, probability, machine learning, generalization, and others. The group... more
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Best Practices in Data Science

The BIDS Best Practices in Data Science discussion series, which launched in Spring 2019, meets to synthesize participants' experiences working in the field of data science, discern how data science practices can be done well, and discover how to improve upon lessons-learned. Topics... more
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BIDS-BCHSI Research Xchange Forum

The BIDS-BCHSI Research Xchange Forum was launched in October 2020 as an open discussion platform for the interdisciplinary exchange of ideas and research projects at the intersection of healthcare and data science, enabling participants to support the development, and research of our members... more
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Computational Social Science Forum

The Computational Social Science Forum provides an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Our goal is to improve computational social science research, support the development and research of our members,... more
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Data Science By Design (DSxD): Best Practices of Visual Storytelling

DSxD Grants & Anthology, "The Future of Data Science" — Apply June 1-18 Data Science By Design (DSxD) is a community of practice to curate ideas about data narratives, innovative communication approaches and aesthetic visual design principles. This project aims to conscientiously develop the... more
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Machine Learning and Science Forum

The BIDS Machine Learning and Science Forum (formerly the Berkeley Statistics and Machine Learning Forum) was launched in Spring 2018 and currently meets biweekly (during the spring and fall semesters) to discuss current applications across a wide variety of research domains in the physical... more