Neuroprediction of Criminal Recidivism

Abstract

Criminal recidivism rates in the United States have consistently been rising within the past decade. Although various causes for the issue have been targeted, they have never been holistically explored in regard to their fields. Here, we identify social, psychological, and the more novel neurological risk factors that have been correlated with higher rates of recidivism and examine the manner in which their influence upon recidivating tendencies can shift depending on the intensity and presence of other factors. To represent the results of individualized complex relationships between these factors, we propose that a statistical model of linear regression will be best suited. This work may also benefit the development of more personalized therapies due to its consideration of individualized risk factors.