To imprison or not to imprison: an analytics model for drug courts

Eficacia de un programa de tratamiento en el consumo de drogas en menores infractores desde la psicología positiva

“…En los últimos 30 años han ganado mucho peso los modelos de intervención alternativos a la privación de libertad en el tratamiento del consumo de drogas en personas que, en paralelo, han desarrollado conductas antisociales (Delen, Zolbanin, Crosby y Wright, 2021), y la población adolescente no ha sido una excepción. En Estados Unidos existe una larga tradición en el abordaje temprano de los problemas asociados al consumo de drogas en adolescentes con conductas infractoras a través de intervenciones ambulatorias y, desde los años 90, existen en ese país tribunales específicos para la intervención en consumo de drogas (Ledgerwood y Cunningham, 2019).…”

Explainable AI for Operational Research: A defining framework, methods, applications, and a research agenda

“…This initiative, if performed properly, has proven to be effective in lowering costs to the community and improving social outcomes. To enable better management of resources and improvement of outcomes, advanced analytics models are developed using large real-world data obtained from drug courts to predict and explain who would or would not graduate from these treatments (Zolbanin et al, 2020), who would be a returning offender (i.e., recidivism) (Delen et al, 2021), and to prescribe a set of guidelines (presented as characteristics of the offenders) that can help jurisdictions and drug court administrators to make more effective and efficient decisions. • Educational analytics.…”

Explainability through uncertainty: Trustworthy decision-making with neural networks

“…The field of XAI refers to techniques that try to explain how a black-box ML model produces its outcomes. Although still limited, XAI techniques are increasingly adopted in OR applications, e.g., in credit risk (Bastos & Matos, 2022;Sachan et al, 2020), marketing risk (De Caigny et al, 2018;Van Nguyen et al, 2020), supply chain management (Garvey et al, 2015), healthcare (Piri et al, 2017), and jurisprudence (Delen et al, 2021). As such, XAI bridges the gap to organizational decision-makers by providing understanding into a model's predictions and generating actionable insights.…”