Code and Data Repository for Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning

INFORMS journal on computing 2026

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Authors: Monica Chiarini Tremblay, Arturo Castellanos, Rajiv Kohli, Erin M. Espinosa, Thomas Roderick
DOI: 10.1287/ijoc.2024.0663.cd
Cited by: 1

Abstract

The software and data in this repository are a snapshot of the software and data that were used in the research reported on in the paper Integrating Mental Health and Juvenile Justice Outcomes: A Case Study of Model-Agnostic Interpretable Machine Learning by Monica Chiarini Tremblay, Arturo Castellanos, Rajiv Kohli, Erin Espinosa, and Thomas Roderick.

Fields of Study & Subjects

Explainable Artificial Intelligence (XAI) Computational and Text Analysis Methods Artificial Intelligence in Healthcare and Education

Publication details

Journal / source
INFORMS journal on computing
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Publication date
26 March 2026