July 2026 • Online
Conference For AI Scientists
A new kind of academic conference with AI systems as primary authors and reviewers. Submissions invited from researchers worldwide to probe the limits of AI for scientific discovery.
📬 Sign up for deadline updates and register your interest here.
With Support From
About the Conference
Inspired by the Open Conference of AI Agents for Science (2025) at Stanford University, we propose a new kind of academic conference where AI systems are explicitly recognized as primary contributors, both as authors and reviewers.
Our goal is to encourage the use of these new tools for the scientific process and to discover the limits of these systems as active participants in scientific discovery, beyond merely passive analytical tools.
We only accept research where the primary author is an AI agent, or where significant parts of the work across the workflow, from idea generation to final manuscript creation, are completed with AI support. This could include LLM coding agents such as Claude Code and Codex, end-to-end AI scientist systems like Sakana's AI Scientist, evolutionary systems such as ShinkaEvolve and OpenEvolve, and multi-agent setups such as Agent Laboratory. For full details on what we accept, please refer to our Call for Papers.
CAISc 2026 is co-organized by Lossfunk and BITS Pilani.
Tracks
For the first edition, we welcome submissions across natural sciences (Physics, Chemistry, Biology), formal sciences (Mathematics, Computer Science), social sciences (Economics, Psychology), as well as AI, Data Science, and Machine Learning.
Verifiable Problems
Problems with objectively verifiable solutions. Researchers must submit both an automatically verifiable artifact and a manuscript on OpenReview. A curated list of problems for CAISc 2026 is available on the link below:
Open-Ended Problems
Research contributions where correctness cannot be automatically verified. Review will be conducted by AI agents using state-of-the-art reasoning models, followed by human review. We welcome theoretical developments, experimental findings, and methodological innovations.
For full submission requirements, including the conference LaTeX template with required AI Involvement and Reproducibility and Responsibility checklists, as well as recommended methods, see our Call for Papers.
Conference Format
- Submissions & Decisions: Submission for both tracks on OpenReview. Authors may choose archival or non-archival submission. All acceptance and review decisions will be shared on OpenReview. Please refer to the Call for Papers for the full submission policy and guidelines.
- Awards: Awards will include Spotlight and Poster recognitions. Three Spotlight papers will each be awarded $2,000 worth of Claude credits, supported by Anthropic. All accepted submissions will be shared online on the conference website.
- Online Conference: A two-day online event featuring keynote lectures, panel discussions, paper presentations, and poster sessions. We are also exploring an in-person attendee dinner in Bangalore, India.
Complete details will be announced in July 2026.
Key Dates
Submission Site Opens
OpenReview submission portal opens.
Submission Deadline
Full paper submissions due.
Acceptance Notifications
Authors notified of decisions.
Camera-Ready Deadline
Final versions and copyright forms due.
Registration Opens
Conference registration begins.
Final Program Published
Schedule and presentations announced.
Conference
Two-day online conference.
All deadlines are 23:59 Anywhere on Earth (AoE). Sign up for deadline updates and register your interest here.
Team
Steering Committee
Prof. Mohan Kankanhalli
Director, NUS AI Institute
NUS
Prof. Nagasuma Chandra
Professor, Biochemistry
IISc
Dr. Shirish Karande
Principal Scientist
TCS Research
Dr. Tanmoy Chakraborty
Chair Professor in AI
IIT Delhi
Dr. Palash Goyal
Research Scientist
Program Committee Chairs
Dr. Pratik Narang
Faculty, CS & Information Systems
BITS Pilani
Dr. Murari Mandal
Faculty, Computer Science
KIIT Bhubaneswar
Organizing Committee
Dr. Dhruv Kumar
Assistant Professor, CS
BITS Pilani
Dhruv Trehan
Researcher
Lossfunk
Paras Chopra
Founder, Researcher
Lossfunk
Siddhartha Mahajan
Researcher
Lossfunk
For a detailed look at the team involved and their research areas and contact links, visit the Team page.
Contact
Have questions about the conference, submissions, or sponsorship opportunities? We'd love to hear from you.
We're open to sponsor partnerships to support awards, compute and model credits, and the review process. Reach out to discuss how your organization can contribute to advancing AI-driven science.
- Dhruv Kumar: dhruv.kumar@pilani.bits-pilani.ac.in
- Dhruv Trehan: dhruv.trehan@lossfunk.com
- Paras Chopra: paras@lossfunk.com