Challenge Submissions
Proposals for AI-based solutions to addiction challenges, including methods, datasets, and evaluation metrics.
Multimedia/CORE Unranked
AT-ADD 2026
ACMMM 2026 Challenge AT-ADD
AT-ADD 2026 is a conference focused on the intersection of artificial intelligence and addiction research, aiming to foster interdisciplinary collaboration between AI researchers and addiction specialists. The event features a challenge track for innovative AI-driven solutions to addiction-related problems.
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Research areas in scope
01
AT-ADD Challenge Topics
AI for substance use disorder detectionPredictive modeling of relapseDigital phenotyping of addiction behaviorsEthical AI in addiction interventionPersonalized treatment recommendation systemsNatural language processing of addiction-related textMobile and wearable sensing for addiction monitoringAI-driven harm reduction strategies
Policies worth checking twice
- Submissions must be original and not under review elsewhere.
- All submissions will undergo double-blind peer review.
- Authors must disclose any use of AI tools in the preparation of their submissions.
- Submitted work must not have been previously published in a peer-reviewed venue.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026