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Berkeley Institute for Data Science

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This is an old revision of this page, as edited by Econohammer (talk | contribs) at 16:00, 5 November 2015 (removed berkeley linked news sources per LaMona's review). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
  • Comment: You need to use only third-party, independent sources. Daily Cal and U-Berkeley sources are not that. They should be removed. So far, the institute has been formed, but there is no key research that has come out of it, at least none in this article. If that is the case, then it may be too soon for a WP article. It needs to do something notable, not just get started. LaMona (talk) 03:05, 2 November 2015 (UTC)
  • Comment: The list of fellows is not notable. Please also remove any links to external websites that are in the body of the article. Flat Out (talk) 04:53, 30 October 2015 (UTC)
  • Comment: Part of the lede is directly copied from the above site ("made possible by..."). Citing a source is not sufficient to clear this; instead, rewrite the affected sentence in your own words. Thanks, /wia /tlk /cntrb 12:34, 27 October 2015 (UTC)
  • Comment: This draft reads like a directory. Read WP:NOTDIRECTORY. I am neither accepting nor declining this article at this time. Robert McClenon (talk) 23:58, 26 October 2015 (UTC)

Berkeley Institute for Data Science
EstablishedNovember 2013
Faculty Director
Saul Perlmutter
Executive Director
Kevin Koy
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 UC Berkeley designed to facilitate data-intensive science.[1][2] BIDS was initially funded by grants from the Gordon and Betty Moore Foundation and the Sloan Foundation.[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] The organization has an executive director and a faculty director, Saul Perlmutter, who won the 2011 Nobel Prize in Physics. 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.[7][8]

Working groups

There are six working groups that are common across the three universities included in the original Moore/Sloan grant. The working groups are intended to "address the major challenges facing advances in data-intensive research" and include Career Paths and Alternative Metrics, Reproducibility and Open Science, Education and Training, Ethnography and Evaluation, Software Tools and Environments, and Working Spaces and Culture.

References

  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. Retrieved 26 October 2015.
  5. ^ Baker, Monya (8 April 2015). "Data science: Industry allure". Nature. doi:10.1038/nj7546-253a. Retrieved 26 October 2015.
  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. ^ Lohr, Steve (12 November 2013). "Program Seeks to Nurture 'Data Science Culture' at Universities". New York Times. Retrieved 25 October 2015.
  8. ^ "Data to Knowledge to Action" (PDF). Fact Sheet. White House. 12 November 2013. Retrieved 25 October 2015.