Happy Friday! This week, we feature new research on stereotypes and reporting, algorithms used to drive policy, and the importance of Census data for understanding race, diversity, and inequality.
Discoveries:
“Traffic Accident Reporting Drives Gender Stereotypes” by Jean Marie Maier. We bring you new research investigating how gender stereotypes about bad drivers are perpetuated by the media.
“Algorithmic Blues: Accuracy Versus Morality in Policy Debates” by Mahala Miller. New research explores how policymakers feel about insurance companies’ use of credit scores to predict prices–one consequential example of a predictive algorithm used to set policy.
There’s Research on That:
“A #TSPClassics Collection: The Sociology of the Census” by Neeraj Rajasekar. We round up research on the history and methods of conducting the Census, and how social scientists have used Census data in research and theory-building.
From Our Partners:
Contexts
“Con Corazón San Antonio” by Fabio Rojas.
“Healthcare and Critical Infrastructure” by Rashawn Ray and Fabio Rojas.
“COVID-19 Impact on Asia and Beyond” by Rashawn Ray and Fabio Rojas.
Council on Contemporary Families
“Online learning will be hard for kids whose schools close – and the digital divide will make it even harder for some of them” by Jessica Calarco.
From Our Community Pages:
- Give Methods A Chance brings us a conversation with Barbara Gurr and Maura Kelly on Feminist Research Methods.
- The Center for Holocaust and Genocide Studies explores the use of the term “concentration camps,” and features the work of student researcher and graduate board member Jillian LaBranche.
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