Berkeley Institute for Data Science
 | |
| 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.