BIDS Announces Call for Data Science Research Projects

/ April 20, 2018

The Berkeley Institute of Data Science (BIDS) invites letters of intent to pursue interdisciplinary research projects based at BIDS.  BIDS is seeking to facilitate interdisciplinary research efforts and to expand our increasingly active data science community at UC Berkeley, about which Chancellor Christ recently updated the campus. 

2018 BIDS Data Science Faire - Call for Posters/Demos

/ April 20, 2018

Join us for the annual BIDS Data Science Faire! Date: Tuesday, May 8, 2018 Time: 1:30-5:00 PM Location: Berkeley Institute for Data Science (BIDS), 190 Doe Library, UC Berkeley. 

BIDS hosts the inaugural GraphXD workshop

Jarrod Millman / April 13, 2018

During spring break (March 27–29, 2018), BIDS hosted the first annual Graphs Across Domains (GraphXD) workshop. Lauren Ponisio

How Open-source Scientific Computing is Transforming "Science as Usual"

Marsha Fenner / April 5, 2018

In this new article in The Atlantic, BIDS Senior Fellow Fernando Pérez relates the origins of the Jupyter project, and how open-source scientific computing is changing the course of transparency, reproducibility and accessibility in the sciences.   _________ The Scientific Paper Is Obsolete James Somers | The Atlantic | April 5, 2018

BIDS Announces 2018 Call for Data Science Fellows

Marsha Fenner / March 22, 2018

The Berkeley Institute for Data Science (BIDS) invites applications for our Data Science Fellows Program. Letter of Intent due April 2, 2018

Announcing our new BIDS Executive Director, David Mongeau

Saul Perlmutter / March 20, 2018

To the Berkeley Research Community: It is a genuine pleasure to announce the appointment of David Mongeau as the Berkeley Institute of Data Science's (BIDS) new Executive Director.

BIDS launches new Statistics and Machine Learning Discussion Group

Marsha Fenner / March 16, 2018

The new Berkeley Statistics and Machine Learning Discussion Group will meet weekly at BIDS to discuss statistical and data science methods and their applications across a wide variety of domain research sciences.