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

/ September 15, 2020

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

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​Charter school identities and stratification: a new computational analysis

/ September 10, 2020

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.

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BIDS and D-Lab launch the Computational Social Science Forum

Marsha Fenner / September 3, 2020

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. 

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New study sheds light on the ineffectiveness of addressing social inequities through police interventions

Ángel Mendiola Ross / August 20, 2020

Last fall, I was commissioned by the Othering & Belonging Institute at UC Berkeley to study the drivers of inequality in the Inland Empire (IE) of Southern California. My analysis focused on changes in poverty and housing tenure since 2000, and the growing share of expenditures that IE cities dedicated to policing in the wake of the Great Recession of 2008-2009, while largely failing to tackle rising poverty and housing insecurity.

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UC Berkeley’s National Data Workshop Spurring Data Science Classes at HBCUs, California Community Colleges

/ August 18, 2020

This article is cross-posted from  UC Berkeley’s National Data Workshop Spurring Data Science Classes at HBCUs, California Community Colleges August 17, 2020  |   Jon Bashor   |   CDSS News ___________________________

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