ResearchProjects

This project built 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 attempted to aid prevention scientists to better predict and prevent substance use disorders among urban youth by identifying place-based factors.

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