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
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:
Nick Adams, fellow, principal investigator of the Deciding Force project[15][16]
Leonard Apeltsin, Health Innovation Fellow,[23] Head of Data Science at Anomaly,[24] co-founder of Primer.ai[25] and author of Data Science Bookcamp: Five Python Projects[26]
^Suthaharan, Shan (2015). Machine Learning Models and Algorithms for Big Data Classification: Thinking with Examples for Effective Learning. Springer. p. 10. ISBN9781489976413.
