IRAS: An Inmates’ Risk Assessment System
- June 1st, 2009
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This research had the goal of improving the classification of offenders into their different levels of risk in order to improve the decision-making process with regard to diversion programs (i.e., alternatives to incarceration). The system is based on an automated assessment of the likelihood of recidivism based on nine weighted attributes. The system can easily be tested by running it on past historical data and then comparing the results with the observation of more recent outcomes. This was pilot tested using data from Madison County, Alabama.