Linear Digressions

Criminology and Data Science

Linear Digressions

This episode features Zach Drake, a working data scientist and PhD candidate in the Criminology, Law and Society program at George Mason University. Zach specializes in bringing data science methods to studies of criminal behavior, and got in touch after our last episode (about racially complicated recidivism algorithms). Our conversation covers a wide range of topicsβ€”common misconceptions around race and crime statistics, how methodologically-driven criminology scholars think about building crime prediction models, and how to think about policy changes when we don’t have a complete understanding of cause and effect in criminology. For the many of us currently re-thinking race and criminal justice, but wanting to be data-driven about it, this conversation with Zach is a must-listen.

Next Episodes

Linear Digressions

Racism, the criminal justice system, and data science @ Linear Digressions

πŸ“† 2020-06-08 01:33 / βŒ› 00:31:36


Linear Digressions

An interstitial word from Ben @ Linear Digressions

πŸ“† 2020-06-05 03:38 / βŒ› 00:05:59


Linear Digressions

Convolutional Neural Networks @ Linear Digressions

πŸ“† 2020-05-31 23:46 / βŒ› 00:21:55


Linear Digressions

Stein's Paradox @ Linear Digressions

πŸ“† 2020-05-25 00:21 / βŒ› 00:27:02