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As virtual reality expands into family homes, Stanford researchers help parents better understand the potential impacts this emerging technology has on children in a new report.

New Stanford research shows that, over the past century, linguistic changes in gender and ethnic stereotypes correlated with major social movements and demographic changes in the U.S. Census data.

Computer science graduate student Reid Pryzant and Stanford linguist Dan Jurafsky applied a machine learning technique to analyze more than 90,000 food and health-related product descriptions and their sales data on the Japanese e-commerce marketplace Rakuten.

Conversational software programs might provide patients a less risky environment for discussing mental health, but they come with some risks to privacy or accuracy. Stanford scholars Jeff Hancock, Arnold Milstein, and Adam Miner, discuss the pros and cons of this trend.

In a recent study, Assistant Professor of communication Angèle Christin finds a gap between intended and actual uses of algorithmic tools in journalism and criminal justice fields.

Professors Jennifer Eberhardt and Dan Jurafsky along with other Stanford researchers detected racial disparities in police officers’ speech after analyzing more than 100 hours of body camera footage from Oakland Police.

June 23-24, 2017 Berkeley, CA Course Description: This workshop will provide both a conceptual background and practical experience in computer assisted qualitative data analysis (CAQDA) using ATLAS.ti.

The CPI and Third Sector Capital Partners have joined with three state and local governments in California and Washington to use administrative data to evaluate social programs that address homelessness, unemployment, and family disadvantage. 

Here’s a call for papers that’s sure to appeal to CPI affiliates: The Russell Sage Foundation is soliciting papers that explore the role that administrative data can play in understanding social, political, and economic inequalities. Submissions are due by June 15, 2017.

Tailoring psychological interventions depending on an individual's cultural background produces improved outcomes in online learning environments, according to Stanford researchers, René Kizilcec and Geoffrey Cohen, in a paper recently published in Proceedings of the Nati