Tyler McCormick

Tyler McCormick

Associate Professor of Statistics and Sociology, University of Washington-Seattle Campus

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About Tyler

McCormick's work develops statistical models for inference and prediction in scientific settings where data are sparsely observed or measured with error. His recent projects include estimating features of social networks (e.g. the degree of clustering or how central an individual is) using data from standard surveys, inferring a likely cause of death (when deaths happen outside of hospitals) using reports from surviving caretakers, and quantifying & communicating uncertainty in predictive models for global health policymakers.

Contributions

Measuring the Social Impact of Mass Imprisonment on America's Black and White Families and Communities

    Hedwig Lee
  • Margaret T. Hicken
  • Christopher Wildeman

In the News

Tyler McCormick's research on connectedness to prisoners discussed by Timothy Wiliams, "Report Details Economic Hardships for Inmate Families," New York Times, September 15, 2015.
Tyler McCormick's research on an artificial intelligence model that scans for signs of depression from Twitter users discussed by Sam Frizell, "How Twitter Knows When You’re Depressed," Time, January 27, 2014.

Publications

"Racial Inequalities in Connectedness to Imprisoned Individuals in the United States" (with Hedwig Lee and Christopher Wildeman). Du Bois Review: Social Science Research on Race 12, no. 2 (2015): 269-282.

Argues that that with high rates of connectedness to prisoners and the vast racial inequality in them, it is likely that mass imprisonment has fundamentally reshaped inequality not only for the adult men for whom imprisonment has become common, but also for their friends and families.