Insider Threat: Criminal Recidivism

This research delves into the relationship between criminal recidivism and insider threat risk, particularly within the U.S. Army. The methodology employed in this research focused on machine learning techniques but now emphasizes Generalized Linear Models (GLMs), to analyze the data and identify predictors of recidivism, which we then relate to Insider Threat.

Cadet Joshua Blackmon (GEM Scholarship),
Dr. Roginski, Dr. Wolf, AAG RFL


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