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Berkeley Institute for Data Science

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Berkeley Institute for Data Science
EstablishedNovember 2013
Faculty Director
Fernando Pérez
Parent organization
University of California, Berkeley
Websitebids.berkeley.edu

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.[1][2] 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.[3][4][5] 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.[6] Saul Perlmutter established BIDS in 2013 and stepped down as the Faculty Director in December 2023.[7] 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.[8][9][10]

Working groups

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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

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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

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  1. ^ Ungerleider, Neal (13 November 2013). "White House to Universities: We Need More Data Scientists". Fast Company. Retrieved 25 October 2015.
  2. ^ Suthaharan, Shan (2015). Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning. Springer. p. 10. ISBN 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.
  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.
  5. ^ Baker, Monya (8 April 2015). "Data science: Industry allure". Nature. 520 (7546): 253–255. doi:10.1038/nj7546-253a. PMID 25859590.
  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.
  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.
  8. ^ Lohr, Steve (12 November 2013). "Program Seeks to Nurture 'Data Science Culture' at Universities". New York Times. Retrieved 25 October 2015.
  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.
  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.
  11. ^ "MSDSE Archive". Academic Data Science Alliance. Retrieved 2 October 2024.
  12. ^ "MSDSE Archive - Themes". Academic Data Science Alliance. Retrieved 2 October 2024.
  13. ^ "About ADSA". Academic Data Science Alliance. Retrieved 2 October 2022.
  14. ^ "Founding Members". Academic Data Science Alliance. Retrieved 2 October 2022.
  15. ^ Allred, Cathy (17 September 2014). "Deciding Force: What we learned from Ferguson". Daily Herald. Retrieved 5 November 2015.
  16. ^ McMillan, Cecily; Gould-Wartofsky, Michael (17 September 2015). "Decriminalize dissent". Al Jazeera America. Retrieved 6 November 2015.
  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.
  18. ^ Krill, Paul (14 February 2014). "IPython founder details road map for interactive computing platform". InfoWorld. Retrieved 6 November 2015.
  19. ^ Strickland, Eliza (16 April 2014). "Google Earth Engine Brings Big Data to Environmental Activism". IEEE Spectrum. Retrieved 5 November 2015.
  20. ^ Benderly, Beryl (13 July 2015). "Putting women at the controls at NASA". Science. Retrieved 5 November 2015.
  21. ^ Scopatz, Anthony; Kathryn, Huff (2015). Effective Computation in Physics. O'Reilly Media. ISBN 9781491901595.
  22. ^ Lowery, Jack (14 September 2014). "Women in Data Science: Kathryn Huff". Center for Data Science. New York University. Retrieved 6 November 2015.
  23. ^ "Berkeley Institute for Data Science". Berkeley Institute for Data Science.
  24. ^ "Anomaly - Precision Payments brought to healthcare". Anomaly - Precision Payments brought to healthcare.
  25. ^ "From Bioinformatics to Natural Language Processing with Leonard Apeltsin". James Le.
  26. ^ Apeltsin, Leonard (2021). Data Science Bookcamp: Five Python Projects. Manning Publishing. ISBN 9781617296253.
  27. ^ Bressert, Eli (2012). SciPy and NumPy: An Overview for Developers. O'Reilly Media. p. 43. ISBN 9781449361624.
  28. ^ "scikit-image". Python Package Index. Retrieved 5 November 2015.
  29. ^ "Laura Waller". Berkeley Institute for Data Science.
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