Papers
Original work up to 8 pages (excluding references), not under review elsewhere; eligible for oral presentations, paper awards, and fast-track journal review.
AI/CORE Unranked
STAI-X 2026
The First Conference on Statistics and Trustworthy AI for Cross (X)-Domain Acceleration
STAI-X 2026 is a conference focused on integrating statistics and artificial intelligence to accelerate trustworthy cross-domain discovery, innovation, and real-world impact. It brings together researchers from statistics, AI, and domain sciences to present methodological and applied work through papers, posters, invited talks, and panel discussions, with strong ties to leading statistical journals and organizations.
Key deadlines
Verified September 9, 2026Full paper
May 12, 2026
AoE
Conference timeline
Submission and decisions
Full paperKey deadline
May 12, 2026 · AoE
Paper fit
Contribution paths
A strong submission should clearly identify its contribution and evaluate it appropriately.
Posters
2-page long abstracts; non-archival; parallel submissions allowed; eligible for poster presentations, lightning talks, and stellar abstract awards.
Research areas in scope
01
Foundations and Methods at the Interface of AI and Statistics
Foundation models, generative models and learning methodsSynthetic dataStatistical and theoretical foundations of AIStatistical inference and generative AI
02
AI Agents and Benchmarks for Data-Driven Discovery
Agentic AI and co-scientists for XScalability for resource-constrained training environmentsBenchmarking of AI-assisted tools and models
03
AI x Statistics x Science and Society
AI x statistics x health and biological scienceAI x statistics x physical science and engineeringAI x statistics x social science, business, and lawEthical AI
Policies worth checking twice
- Papers must be original and not under concurrent review at another journal or conference; preprints (e.g., arXiv) are allowed.
- Poster track allows parallel submissions to other journals or conferences.
- Submissions based on the same work must be made to only one track (paper or poster).
- Authors must use the official STAI-X LaTeX template for formatting.
- All authors must have individual OpenReview accounts to submit.
- A limited subset of top-ranked accepted papers may be invited for fast-track review at partner journals; authors must opt out of STAI-X proceedings if submitting to certain journals (e.g., JASA, AOAS, ASA Discoveries).
- AI-assisted tools may be used to assist reviewers with structured feedback and reproducibility reports, but human judgment remains decisive.
- At least one author must have tenure-track faculty equivalent experience to serve as a reviewer; exemptions require justification.
Official sources
Compiled from the official call for papers. The organizers’ pages remain authoritative.
Last verified September 9, 2026