Seminars / Webinars
BIDS and Upwardly Global (UpGlo) partnered in fall 2020 to launch this series of webinars to support job seekers in the field of data science, and the series is created especially for US immigrants and refugees who have college degrees from their home countries (but are as yet unemployed or working... more
The Data Science Coast to Coast (DSC2C) seminar series was launched in October 2020 and is hosted jointly by seven academic data science institutes — BIDS, NYU’s Center for Data Science, Rice University’s Ken Kennedy Institute, Stanford Data Science, the University of Michigan’s Michigan... 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.
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
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
The Berkeley Computational Social Science Forum was launched in Fall 2020, as part of the Computational Social Science Training Program, to provide an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. Our goal is to... more
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
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
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.
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
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
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
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.
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
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.... more
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
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