Integrating Community Based Participatory Research and Machine Learning Methods to Predict Youth Substance Use Disorders for Urban Cities in New Jersey

Mission

This project aims to create more accurate predictions on substance use disorders among youth in urban communities using Community-Based Participatory Research methods, geospatial analysis, and machine learning. Our goals are to collect local and individual-level data in Paterson and East Orange, New Jersey, train and involve youth in the study design, and use longitudinal methods to develop a database to track substance use outcomes among youth aged 15-21.

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Funding source

NIDA (National Institute on Drug Abuse) Racial Equity Visionary Award (DP1DA058982; PI: Ijeoma Opara)

YOUTH COALITION

Aliyah Aldorphe

Amarachukwu Emmauel

Bahsir Gillespie

Gabrielle St.Clair

Hayden Wilson

Ivette Cole

Jenna Alrifai

Joann Kamara

Kennedy White

Kimora McQueen Johnson

Keyla Salas

Leah Eke

Malakhi Noble

Mary Ojo

Maya Iwuala

Peace Kanikwu

Golden Yeboah