News

CDSS Plays Key Roles in National Data Science Conversation

This article is cross-posted from  CDSS Plays Key Roles in National Data Science Conversation  October 8, 2020  |   Jon Bashor   |   CDSS News ___________________________

Building a Better Framework for More Robust, Trustworthy Data Science

This article is cross-posted from  Building a Better Framework for More Robust, Trustworthy Data Science October 1, 2020  |   Jon Bashor   |   CDSS News, 150 Years of Women at Berkeley ___________________________

Love of plants grows into data science career for BIDS' Ciera Martinez

This article is cross-posted from  Love of plants grows into data science career for BIDS' Ciera Martinez October 1, 2020  |   Jon Bashor   |   CDSS News, 150 Years of Women at Berkeley ___________________________

The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies

The MI-CLAIM checklist: Minimum information about clinical artificial intelligence modeling

NumPy: array programming at the core of the scientific Python ecosystem

BAY-SICSS: Bridging Computational Social Scientists and Practitioners for Social Good

BIDS welcomes this guest blog post from Jaren Haber, Jae Yeon Kim, and Nick Camp, the organizers of BAY-SICSS 2020: _________

​Charter school identities and stratification: a new computational analysis

Research recently published online by Cal alum Jaren Haber in the journal Sociology of Education applies novel computational methods to investigate charter school identities and their social consequences. The research is based on Haber's dissertation in sociology, which was chaired by BIDS Faculty Affiliate and TextXD faculty lead Heather Haveman.

BIDS and D-Lab launch the Computational Social Science Forum

The Computational Social Science Forum is a new weekly discussion series that provides an informal setting for the interdisciplinary exchange of ideas and scholarship at the intersection of social science and data science. 

Berkeley and MIT receive NSF TRIPODS award to lead the “Foundations of Data Science Institute”