At the end of 2010, prisons in the United States incarcerated over 1,605,127 inmates,
yielding an imprisonment rate of 497 per 100,000 residents (Guerino, Harrison, & Sabol …

Using 88 studies from 1980 to 2006, a meta-analysis compares risk instruments and other
psychological measures on their ability to predict general (primarily nonsexual) violence in …

Predictive modeling is increasingly being employed to assist human decision-makers. One
purported advantage of replacing or augmenting human judgment with computer models in …

This book outlines important suggestions by international experts to improve the health of
those in prison and to reduce both the health risks and risks to society of imprisonment. In …

PURPOSE: This paper applies macro-micro General Strain Theory (GST) to predict prisoner
misconduct. It is hypothesized that prison-based strain will adversely affect inmates and …

A retrospective review was conducted of the 2003 disciplinary records of close-custody
inmates (N= 24,514) in the Florida Department of Corrections. The frequency of various …

Predictive modeling is increasingly being employed to assist human decision-makers. One
purported advantage of replacing human judgment with computer models in high stakes …

Researchers have not yet devoted sufficient attention to the effect of prison architecture on
inmate misconduct. Using data from the population of male prisoners in Texas, the authors …

New social and economic activities massively exploit big data and machine learning
algorithms to do inference on people's lives. Applications include automatic curricula …

Rates of disciplinary misconduct and violence among juvenile male inmates (N= 703)
admitted to a state prison system from 1998 to 2002 are retrospectively examined. The …