Upcoming Events
This page is focused on publicly-accessible events related to the CTN and/or hosted by NIDA, Nodes, CTN study teams, or CTN SIGs and committees. We also list some major national/international conferences of particular interest to the Network.
For more national/international conferences and events, visit NIDA’s Meetings & Events page and this list from the journal Addiction.
Events for September 24, 2026
Greater Southern CA Node: Guam’s 7th Annual Behavioral Health & Addictions Virtual Conference
The Greater Southern California Node and its Pacific Southwest Addiction Technology Transfer Center (PSATTC) partners would like to invite you to Guam's 7th Annual Behavioral Behavioral Health & Addictions Virtual Conference. This FREE two-day virtual conference held in recognition of National Recovery Month will feature 4 plenary presentations and 4 breakout sessions, offering 8 concurrent workshop tracks. Whether you are looking to strengthen your clinical practice, learn about emerging trends, or discover innovative approaches to providing care, this conference offers valuable education and practical strategies to support your work. Sponsored by the Guam Behavioral Health and Wellness Center and the Pacific Southwest ATTC.
Northeast Node: Using AI and Passive Data to Improve Digital Assessment and Treatment of Substance Use and Mental Health Disorders
Join the Northeast Node for the next installment of their Science Series: Using AI and Passive Data to Improve Digital Assessment and Treatment of Substance Use and Mental Health Disorders. Presented by Nicholas C. Jacobson, PhD. Dr. Jacobson, PhD, is an Associate Professor of Biomedical Data Science and Psychiatry at Dartmouth's Geisel School of Medicine, where he directs the AI and Mental Health: Innovation in Technology Guided Healthcare (AIM HIGH) Laboratory. He has published over 130 peer-reviewed papers (H-index: 44), with a large portion focused on using passively collected smartphone and wearable sensor data to detect psychiatric disorders, measure symptom severity, and predict real-time changes in mental health. His work spans data from over 10,000 participants across 100+ countries. In this talk, he will cover how these digital phenotyping methods have been applied within the CTN through the D-TECT study (CTN-0084-A2), his lab's personalized digital therapeutics for co-occurring anxiety, depression, and substance use disorders, and the 6.5-year development of Therabot, a generative AI psychotherapy chatbot. Therabot was tested in the first randomized controlled trial of generative AI psychotherapy, published in the New England Journal of Medicine AI, where 210 participants showed large symptom reductions (d=0.63 to 0.90) and averaged over 6 hours of engagement across 24 days. He will close with implications for substance use treatment research.