News

BIDS-BCHSI Research Xchange Forum launches on November 2

Innovate For Health (I4H) will launch the BIDS-BCHSI Research Xchange Forum on Monday, November 2.  

Deb Agarwal appointed to California Water Data Consortium’s inaugural Steering Committee

A new urban planning paradigm for more livable, eco-friendly cities

In a recent paper in Science Advances, BIDS Faculty Affiliate Marta C. González and colleagues propose a "new urban planning paradigm" in which city-dwellers will be able to access basic needs by bicycle or on foot. The paper presents new insights into the correlation between facilities distribution and population density, and how accessibility using existing road networks could be optimized. 

TextXD 2020: BIDS’ cross-domain conference to focus on text analysis applications in social justice, human health, and environmental research

Registration is now open for TextXD 2020, which will convene an interdisciplinary group of practitioners, researchers, learners, and entrepreneurs who work with text as a primary source of data, and who use computational text analysis in a wide range of disciplines. 

There is a way to make America's 2020 election results trustworthy — but we have to start now

“Data Science Coast to Coast” seminars launch on October 21

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