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Berkeley Institute for Data Science
Data science institute at University of California, Berkeley

The Berkeley Institute for Data Science (BIDS) is a central hub of research and education within University of California, Berkeley designed to facilitate data-intensive science and earn grants to be disseminated within the sciences. BIDS was initially funded by grants from the Gordon and Betty Moore Foundation and the Sloan Foundation as part of a three-year grant with data science institutes at New York University and the University of Washington. The objective of the three-university initiative is to bring together domain experts from the natural and social sciences, along with methodological experts from computer science, statistics, and applied mathematics. Saul Perlmutter established BIDS in 2013 and stepped down as the Faculty Director in December 2023. The initiative was announced at a White House Office of Science and Technology Policy event to highlight and promote advances in data-driven scientific discovery, and is a core component of the National Science Foundation's strategic plan for building national capacity in data science.

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Working groups

When BIDS was founded in 2013, there were six working groups across the three universities included in the original Moore/Sloan grant, referred to as the Moore-Sloan Data Science Environments (MSDSE).11 The aim of the MSDSE was to address the major challenges facing advances in data-intensive research, including careers, education and training, tools and software, reproducibility and open science, physical and intellectual space, and data science studies.12 The efforts from these working groups led to the founding of the Academic Data Science Alliance (ADSA)13 in 2019. BIDS is a founding member of ADSA.14

Notable fellows

A primary objective of BIDS is to build a community of data science fellows and senior fellows across academic disciplines. The 23 current fellows constitute the majority of the onsite liveware at the Institute, which supports a number of notable initiatives (via Fellow support). The following list is a subset of notable fellows to date:

References

  1. Ungerleider, Neal (13 November 2013). "White House to Universities: We Need More Data Scientists". Fast Company. Retrieved 25 October 2015. http://www.fastcompany.com/3021614/fast-feed/white-house-to-universities-we-need-more-data-scientists ↩

  2. Suthaharan, Shan (2015). Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning. Springer. p. 10. ISBN 9781489976413. 9781489976413 ↩

  3. "NYU Part of Initiative to Harness Potential of Data Scientists, Big Data with Support from Moore, Sloan Foundations". New York University. 12 November 2013. Retrieved 26 October 2015. http://www.nyu.edu/about/news-publications/news/2013/11/12/nyu-part-of-five-year-initiative-to-harness-potential-of-data-scientists-big-data-with-support-from-moore-sloan-foundations.html ↩

  4. "UW, Berkeley, NYU collaborate in $37.8M data science initiative". University of Washington eScience Institute. 7 November 2013. Archived from the original on 14 August 2020. Retrieved 26 October 2015. https://web.archive.org/web/20200814101617/https://honingds.com/blog/uw-berkeley-nyu-collaborate-in-37-8m-data-science-initiative/ ↩

  5. Baker, Monya (8 April 2015). "Data science: Industry allure". Nature. 520 (7546): 253–255. doi:10.1038/nj7546-253a. PMID 25859590. https://doi.org/10.1038%2Fnj7546-253a ↩

  6. "Examples of Big Data Initiatives and Funding Projects". Data Sharing for Demographic Research. Eunice Kennedy Shriver National Institute of Child Health and Human Development. 2015. Retrieved 26 October 2015. https://www.icpsr.umich.edu/icpsrweb/content/DSDR/bigdata-examples.html ↩

  7. "BIDS Community Celebrates Saul Perlmutter's Tenure as the Founding Faculty Director". Berkeley Institute for Data Science (BIDS) (article). Berkeley, California. 12 December 2023. Retrieved 2 October 2024. https://bids.berkeley.edu/news/bids-community-celebrates-saul-perlmutters-tenure-founding-faculty-director ↩

  8. Lohr, Steve (12 November 2013). "Program Seeks to Nurture 'Data Science Culture' at Universities". New York Times. Retrieved 25 October 2015. https://bits.blogs.nytimes.com/2013/11/12/program-seeks-to-nurture-data-science-culture-at-universities/ ↩

  9. "Data to Knowledge to Action" (PDF). Office of Science and Technology Policy. 12 November 2013. Archived (PDF) from the original on 2017-01-28. Retrieved 25 October 2015 – via National Archives. https://obamawhitehouse.archives.gov/sites/default/files/microsites/ostp/Data2Action%20Announcements.pdf ↩

  10. Johnstone, Iain; Roberts, Fred (18 July 2014). Final Report from StatSNSF subcommittee (PDF). National Science Foundation. Archived from the original (PDF) on 5 March 2016. Retrieved 5 November 2015. https://web.archive.org/web/20160305133942/https://www.nsf.gov/mps/members_only/presentations_0714/johnstone-roberts_statsnsf-to-post.pdf ↩

  11. "MSDSE Archive". Academic Data Science Alliance. Retrieved 2 October 2024. https://academicdatascience.org/resources/msdse-archive/ ↩

  12. "MSDSE Archive - Themes". Academic Data Science Alliance. Retrieved 2 October 2024. https://academicdatascience.org/resources/msdse-archive-themes/ ↩

  13. "About ADSA". Academic Data Science Alliance. Retrieved 2 October 2022. https://academicdatascience.org/about-adsa/ ↩

  14. "Founding Members". Academic Data Science Alliance. Retrieved 2 October 2022. https://academicdatascience.org/members-and-communities/founding-members/ ↩

  15. Allred, Cathy (17 September 2014). "Deciding Force: What we learned from Ferguson". Daily Herald. Retrieved 5 November 2015. http://www.heraldextra.com/news/local/north/saratoga-springs/deciding-force-what-we-learned-from-ferguson/article_8a9c8cc0-4ee1-5b20-97b5-8a244c371e6b.html ↩

  16. McMillan, Cecily; Gould-Wartofsky, Michael (17 September 2015). "Decriminalize dissent". Al Jazeera America. Retrieved 6 November 2015. http://america.aljazeera.com/opinions/2015/9/decriminalize-dissent.html ↩

  17. "$6M for UC Berkeley and Cal Poly to Expand and Enhance Open-Source Software for Scientific Computing and Data Science". Business Wire. 7 July 2015. Retrieved 5 November 2015. http://www.businesswire.com/news/home/20150707006377/en/6M-UC-Berkeley-Cal-Poly-Expand-Enhance ↩

  18. Krill, Paul (14 February 2014). "IPython founder details road map for interactive computing platform". InfoWorld. Retrieved 6 November 2015. http://www.infoworld.com/article/2610411/data-visualization/ipython-founder-details-road-map-for-interactive-computing-platform.html ↩

  19. Strickland, Eliza (16 April 2014). "Google Earth Engine Brings Big Data to Environmental Activism". IEEE Spectrum. Retrieved 5 November 2015. https://spectrum.ieee.org/google-earth-engine-brings-big-data-to-environmental-activism ↩

  20. Benderly, Beryl (13 July 2015). "Putting women at the controls at NASA". Science. Retrieved 5 November 2015. https://www.science.org/content/article/putting-women-controls-nasa ↩

  21. Scopatz, Anthony; Kathryn, Huff (2015). Effective Computation in Physics. O'Reilly Media. ISBN 9781491901595. 9781491901595 ↩

  22. Lowery, Jack (14 September 2014). "Women in Data Science: Kathryn Huff". Center for Data Science. New York University. Retrieved 6 November 2015. http://cds.nyu.edu/women-data-science-kathryn-huff/ ↩

  23. "Berkeley Institute for Data Science". Berkeley Institute for Data Science. https://bids.berkeley.edu/people/leonard-apeltsin ↩

  24. "Anomaly - Precision Payments brought to healthcare". Anomaly - Precision Payments brought to healthcare. https://www.findanomaly.com/about/?bio=leonard-apeltsin ↩

  25. "From Bioinformatics to Natural Language Processing with Leonard Apeltsin". James Le. https://jameskle.com/writes/leonard-apeltsin ↩

  26. Apeltsin, Leonard (2021). Data Science Bookcamp: Five Python Projects. Manning Publishing. ISBN 9781617296253. 9781617296253 ↩

  27. Bressert, Eli (2012). SciPy and NumPy: An Overview for Developers. O'Reilly Media. p. 43. ISBN 9781449361624. 9781449361624 ↩

  28. "scikit-image". Python Package Index. Retrieved 5 November 2015. https://pypi.python.org/pypi/scikit-image ↩

  29. "Laura Waller". Berkeley Institute for Data Science. https://bids.berkeley.edu/people/laura-waller ↩