Berkeley Institute for Data Science
 | This article, Berkeley Institute for Data Science, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
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| This article, Berkeley Institute for Data Science, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
| This article, Berkeley Institute for Data Science, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
| This article, Berkeley Institute for Data Science, has recently been created via the Articles for creation process. Please check to see if the reviewer has accidentally left this template after accepting the draft and take appropriate action as necessary.
Reviewer tools: Inform author |
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)
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| Established | November 2013 |
|---|---|
Faculty Director | Saul Perlmutter |
Executive Director | Kevin Koy |
Parent organization | University of California, Berkeley |
| Website | bids |
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 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] The organization has an executive director and a faculty director, Saul Perlmutter, who won the 2011 Nobel Prize in Physics.[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
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.
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:
- Nick Adams, fellow, principal investigator of the Deciding Force project[11][12]
- Fernando Pérez, senior fellow, creator of Jupyter and IPython[13][14]
- Dan Hammer, fellow, Presidential Innovation Fellow and former Chief Data Scientist at the World Resources Institute[15][16]
- Kathryn Huff, fellow, author of Effective Computation in Physics[17][18]
- Daniela Ushizima, fellow, staff scientist at Lawrence Berkeley National Laboratory[19]
- Stéfan Van Der Walt, computational fellow, author of scikit-image[20][21]
References
- ^ Ungerleider, Neal (13 November 2013). "White House to Universities: We Need More Data Scientists". Fast Company. Retrieved 25 October 2015.
- ^ Suthaharan, Shan (2015). Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning. Springer. p. 10. ISBN 9781489976413.
- ^ "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.
- ^ "UW, Berkeley, NYU collaborate in $37.8M data science initiative". University of Washington eScience Institute. 7 November 2013. Retrieved 26 October 2015.
- ^ Baker, Monya (8 April 2015). "Data science: Industry allure". Nature. doi:10.1038/nj7546-253a. Retrieved 26 October 2015.
- ^ "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.
- ^ "Launch of the Berkeley Institute for Data Science" (YouTube). Berkeley, California: CITRIS. 12 December 2013. Retrieved 5 November 2011.
- ^ Lohr, Steve (12 November 2013). "Program Seeks to Nurture 'Data Science Culture' at Universities". New York Times. Retrieved 25 October 2015.
- ^ "Data to Knowledge to Action" (PDF). Fact Sheet. White House. 12 November 2013. Retrieved 25 October 2015.
- ^ Johnstone, Iain; Roberts, Fred (18 July 2014). Final Report from StatSNSF subcommittee (PDF). National Science Foundation. Retrieved 5 November 2015.
- ^ Allred, Cathy (17 September 2014). "Deciding Force: What we learned from Ferguson". Daily Herald. Retrieved 5 November 2015.
- ^ McMillan, Cecily; Gould-Wartofsky, Michael (17 September 2015). "Decriminalize dissent". Al Jazeera America. Retrieved 6 November 2015.
- ^ "$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.
- ^ Krill, Paul (14 February 2014). "IPython founder details road map for interactive computing platform". InfoWorld. Retrieved 6 November 2015.
- ^ Strickland, Eliza (16 April 2014). "Google Earth Engine Brings Big Data to Environmental Activism". IEEE Spectrum. Retrieved 5 November 2015.
- ^ Benderly, Beryl (13 July 2015). "Putting women at the controls at NASA". Science. Retrieved 5 November 2015.
- ^ Scopatz, Anthony; Kathryn, Huff (2015). Effective Computation in Physics. O'Reilly Media. ISBN 9781491901595.
- ^ Lowery, Jack (14 September 2014). "Women in Data Science: Kathryn Huff". Center for Data Science. New York University. Retrieved 6 November 2015.
- ^ Vu, Linda (2 June 2014). "Multidimensional image processing and analysis in R". Phys.org. Retrieved 5 November 2015.
- ^ Bressert, Eli (2012). SciPy and NumPy: An Overview for Developers. O'Reilly Media. p. 43. ISBN 9781449361624.
- ^ "scikit-image". Python Package Index. Retrieved 5 November 2015.