CAIS 2025

1st Conference on AI for Science

Princeton, NJ, US
13-16 October, 2025

Conference on AI for Science (CAIS)

The intersection of artificial intelligence and scientific discovery has led to transformative advancements across disciplines—from accelerating molecular design and materials discovery to enhancing climate modeling and understanding complex biological systems. As AI tools become increasingly sophisticated, their integration into scientific workflows is reshaping how we formulate hypotheses, analyze data, and simulate natural phenomena. However, the rapid growth of this interdisciplinary field has also highlighted the need for dedicated spaces to discuss methodologies, share breakthroughs, and establish best practices.

The Conference on AI for Science (CAIS) aims to foster a collaborative community bridging AI researchers and scientists interested in AI applications for scientific discovery. Given the surging interest in both fields, this event seeks to provide a structured platform for engagement, addressing publication models, venues, and community-building efforts. CAIS aspires to become a nexus where cutting-edge AI techniques meet real-world scientific challenges, promoting interdisciplinary dialogue, knowledge exchange, and long-term partnerships that advance both AI methods and scientific inquiry.

Key Dates

Main conference dates: October 13-16, 2025

Main Track Submission Timeline
  • Abstract deadline: April 15, 2025
  • Full paper submission deadline: April 20, 2025
  • Rebuttal period starts: July 1, 2025
  • Rebuttal period ends: July 15, 2025
  • Decision notifications: August 8, 2025
Symposium Submission Timeline
  • Symposium proposal deadline: May 9, 2025
  • Proposal decision notifications: June 2, 2025
  • Symposium contributed content deadline: August 15, 2025
Tutorial Submission Timeline
  • Tutorial proposal deadline: May 9, 2025
  • Proposal decision notifications: June 2, 2025

Venue

Google Map
CAIS 2025 will take place at Princeton, NJ, US.

Steering Committee

Scientific Advisor

Young Scientist Committee

Sherry Lixue Cheng
Microsoft Research
Flaviu Cipcigan
IBM Research Europe - UK
Yuanqi Du
Cornell University
Laura Greenstreet
Cornell University
Jiajun He
University of Cambridge

Sponsorship

If you are interested in sponsoring CAIS, please reach out to the CAIS Organizational Chair.