Topics
Foundation models, generative models and learning methods
Statistical and theoretical foundations of AI
Synthetic data
Scalability for resource-constrained training environments
Ethical AI
Benchmarking of AI-assisted tools and models
AI Agents and co-scientists for X
Statistical design and inference of ML and AI
Integrating statistics and AI for: health and biological science, physical science and engineering, social science, business, and others
Instructions for Submission
- Papers: Submit a paper of up to 8 pages. Accepted papers will be eligible for being selected for platform (oral) presentations and paper awards. Moreover, a subset of accepted papers may be invited for fast-track review opportunities at selected ASA and IMS journals.
- Posters: Submit a 2-page abstract. Parallel submissions to other conferences are permitted. Accepted submissions will be eligible for poster presentations, lightning talks, and stellar abstract awards.
Fast track to journal review: Journal of the American Statistical Association (JASA): Theory and Methods (T&M), Applications and Case Studies (A&CS), Annals of Applied Statistics (AOAS), Harvard Data Science Review (HDSR), and Genome Research (GR)
Deadlines
Submission
May 11, 2026
Poster Acceptance
May 16, 2026
Paper Acceptance
June 11, 2026
Registration
Early-bird: June 1, 2026
Regular: June 25, 2026
Regular: June 25, 2026