Dr. Hau ChanModeling the Co-Evolution of Substance Use Behavior and Peer Networks of Risk/Support (CoSUN)
This project seeks to develop stochastic forecasting machine-learning models for future substance use and future peer risk/support networks at long timescales within months and for future substance use at short timescales within days using data on covariates of individual attributes and peer network features.
Specific Aims:
(Aim 1): Establish validated predictive models for future substance use and future peer risk/support networks at long timescales.
(Aim 2): Identify significant modifiable predictive factors of future substance use at short timescales.
Dr. Matthew GormleyCollege Aged Substance Use in Educational Settings: Outcomes for Students with ADHD (CASE4ADHD)
The CASE4ADHD project aims to elucidate substance use among college students with rigorously defined ADHD enrolled in 2- and 4-year institutions and its relationship to educational outcomes.
Specific Aims:
(Aim 1): Determine the relationship between frequency of substance use and academic functioning for first-year college students with ADHD enrolled at 2-year and 4-year institutions.
(Aim 2): Identify factors associated with substance use initiation, persistence, and cessation.
(Aim 3): Identify differences in substance use and academic functioning among students with ADHD enrolled in 2- and 4-year institutions.
Dr. Tierney LorenzReward Enhancement to Sexual Cues (RESCues)
The RESCues project aims to identify potential tractable points of intervention to disrupt women’s substance cravings and escalating substance use trajectories, with particular focus on risk and resilience factors unique to bisexual women.
Specific Aims:
(Aim 1): Identify how stress, sexual desire and sexualized substance use interact to drive women’s substance cravings.
(Aim 2): Identify the factors most central to change in networks of women’s substance use, cravings, and mood symptoms.