New Advances in the Prediction of Crime and Recidivism

Session Submission Summary

Fri, Nov 18, 3:30 to 4:50pm, A702, Atrium Level

Session Submission Type: Complete Thematic Panel

This panel will consider new advances in the prediction of crime, recidivism and substance use using a variety of new methodologies.

Predicting Future Criminal Justice Involvement in the Face of Social Change - Erika Montana, Carnegie Mellon University; Alexandra Chouldechova, Carnegie Mellon University; Dan Nagin, Carnegie Mellon University; Roland Neil, University of Pennsylvania; Robert J. Sampson, Harvard University
Conviction Prevalence and Recidivism Rates Across Birth Cohorts During the Crime Drop - Dan Nagin, Carnegie Mellon University
Why is Aging Out Phasing Out? Predictors of the Flattening Age-Crime Curve - Greg Midgette, University of Maryland
Predicting Cannabis Use across Waves: Marginal Calibration with Additional Longitudinal Data - Kimberly L. Henry, Colorado State University; Thomas A. Loughran, Pennsylvania State University; Linda R. Stanley, Colorado State University; Randall C. Swaim, Colorado State University