Case Study: North Dakota DOCR

North dakota department of corrections and rehabilitation

In a series of projects for the North Dakota Department of Corrections, Foundation AI cleaned and consolidated their administrative and clinical data into a data warehouse.

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Using this consolidated data, we were able to predict at the time of admission whether an inmate would be put into solitary confinement during their prison term with an accuracy of 91.3%. The inmates could then be targeted for positive interventions like counseling.

We were also able to use this data to identify the impact that different positive interventions (like the implementation of positive behavioral reports) had on inmates and staff.