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.

Explore Call for Papers Submit on OpenReview

With Support From

Lossfunk BITS Pilani NUS Anthropic IIT Delhi

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 fundamental science domains including Physics, Chemistry, Biology, Mathematics, Computer Science, AI, Data Science, and Machine Learning.

Verifiable Problems

Problems with objectively verifiable solutions. Submissions will be evaluated through automated verification and human review. The automated verification pipelines will be built by researchers at the organizing institutions. Example problem sources include Packing and Geometric Optimization, FrontierMath: Open Problems in Advanced Mathematics, DeepMind's Formal Conjectures, and Professor Terence Tao's Optimization Constants.

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 responsibility, reproducibility, and AI-involvement checklists, as well as recommended methods, see our Call for Papers.

Conference Format

Complete details will be announced in July 2026.

Key Dates

Apr 152026

Submission Site Opens

OpenReview submission portal opens.

May 152026

Submission Deadline

Full paper submissions due.

Jun 222026

Acceptance Notifications

Authors notified of decisions.

Jun 302026

Camera-Ready Deadline

Final versions and copyright forms due.

Jul 12026

Registration Opens

Conference registration begins.

Jul 72026

Final Program Published

Schedule and presentations announced.

Jul 24-252026

Conference

Two-day online conference.

All deadlines are 23:59 Anywhere on Earth (AoE).

Team

Organizing Committee Chairs

Dhruv Kumar

Dhruv Kumar

Assistant Professor, CS

BITS Pilani

Dhruv Trehan

Dhruv Trehan

Researcher

Lossfunk

Paras Chopra

Paras Chopra

Founder, Researcher

Lossfunk

Steering Committee

Palash Goyal

Palash Goyal

Research Scientist

Google

Mohan Kankanhalli

Mohan Kankanhalli

Director, NUS AI Institute

NUS

Shirish Karande

Shirish Karande

Principal Scientist

TCS Research

Tanmoy Chakraborty

Tanmoy Chakraborty

Chair Professor in AI

IIT Delhi

Program Committee Chairs

Pratik Narang

Pratik Narang

Faculty, CS & Information Systems

BITS Pilani

Murari Mandal

Murari Mandal

Faculty, Computer Science

KIIT Bhubaneswar

For the full program committee and team list, visit our Call for Papers.

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.