Using Re-inforcement Learning to Automatically Adapt a Remote Therapy Intervention (RTI) for Reducing Adolescent Violence Involvement

This study will use a randomized control trial (RCT) design to administer two versions of a multisession remote behavioral intervention for youth seeking Emergency Department care for a violent injury with the goal to reduce their violence involvement and associated negative behaviors and consequences. The study examines two versions of the remote therapy intervention - a standard RTI (S-RTI) and an Artificial Intelligence RTI (AI-RTI). The application of a just-in-time adaptive strategy to address youth violence is an important and novel direction for this research, particularly given the need to understand best practices for delivering behavioral interventions among lower-income populations.