This project aims to develop, optimize, and evaluate a crowd-powered intervention platform for depression and anxiety and examine settings for scalability. The crowd-powered tools draw from evidence-based transdiagnostic treatment principles consistent with strategies in cognitive-behavioral therapy. The long-term goal of this research is to aid the creation of technology-based interventions that integrate human support and intelligence without relying on professionals. Such interventions could be provided at scale and address the substantial burden of disease resulting from depression and anxiety.
This project is funded by the National Institute of Mental Health (R34MH113616) and is in partnership with Mental Health America and their Screening-to-Support effort http://www.mentalhealthamerica.net/screening-supports-s2s.
Project Lead: Stephen Schueller