Antonio Castellanos

Combining Machine Learning and Queueing Theory for Data-Driven Incarceration-Diversion Program Management

Incarceration-diversion programs have proven effective in reducing recidivism. Accurate prediction of the number of individuals with different characteristics in the program and their program outcomes based on given eligibility criteria is crucial for successful implementation, because this predicti…