STAI-X '26 Statistics and Trustworthy AI for Cross (X)-Domain Acceleration

To integrate statistics and artificial intelligence to accelerate trustworthy cross-domain discovery, innovation, and real-world impact.

Harvard University, Cambridge, MA  •  July 31 – August 1, 2026

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Topics

Foundations and Methods at the Interface of AI and Statistics

  • Foundation models, generative models and learning methods
  • Synthetic data
  • Statistical and theoretical foundations of AI
  • Statistical inference and generative AI

AI Agents and Benchmarks for Data-Driven Discovery

  • Agentic AI and co-scientists for X
  • Scalability for resource-constrained training environments
  • Benchmarking of AI-assisted tools and models

AI x Statistics x Science and Society

  • AI x statistics x health and biological science
  • AI x statistics x physical science and engineering
  • AI x statistics x social science, business, and law
  • Ethical AI

Key Dates

Submission
May 11, 2026 (AOE)
Poster Acceptance
May 24, 2026
Paper Acceptance
June 11, 2026
Registration
Early-bird: June 1, 2026 (AOE)
Regular: June 25, 2026 (AOE)
Short Courses
July 31, 2026
Conference
August 1, 2026

Registration Fee

Conference

Early Bird (before June 1) Regular (after June 1)
Academia/Government/Nonprofit Industry Trainee Academia/Government/Nonprofit Industry Trainee
Conference $250 $350 $150 $300 $420 $180

Short Course

Early Bird (before June 1) Regular (after June 1)
Academia/Government/Nonprofit Industry Trainee Academia/Government/Nonprofit Industry Trainee
Short Course $250 $350 $150 $300 $420 $180

*Trainee includes students and postdocs. Travel awards for trainees and junior faculty will be made available.

Sponsors