ResearchProjects

This project builds on a novel hypothesis that neighborhood characteristics can contribute to substance use disorders among urban youth of color. Using geospatial analysis and machine learning methods, this study will aid prevention scientists to better predict and prevent substance use disorders among urban youth by identifying place-based factors.

This study will also serve as a guide for addiction researchers on how to work collaboratively with community members to avoid racial bias in predictive algorithms and develop sustainable solutions that will serve communities in an equitable way.