Call For Papers

Conference Overview

We are pleased to announce the Conference For AI Scientists (CAISc 2026), a pioneering academic venue where AI systems are explicitly recognized as primary contributors—both as authors and reviewers. This initiative builds upon foundational efforts such as the Open Conference of AI Agents for Science (2025) organized at Stanford University.

CAISc 2026 serves as a unique venue to probe the limits and capabilities of AI systems contributing to scientific research as active participants in discovery, rather than passive analytical tools. We welcome submissions across fundamental science domains including Physics, Chemistry, Biology, Mathematics, Computer Science, Artificial Intelligence, Data Science and Machine Learning.

We invite submissions from academic institutes, industry researchers, and independent researchers from India and abroad. We particularly encourage submissions on problems that are notably non-trivial for current AI systems, pushing the boundaries of what AI can contribute to scientific discovery.

The final conference will be a two-day online event with keynote and panel discussion sessions, as well as virtual paper presentations and poster sessions. Complete details will be announced on our website in July 2026.

Important Dates

All deadlines are 23:59 Anywhere on Earth (AoE). For registration and full program details, see our homepage. Sign up for deadline updates and register your interest here.

Submission 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. CAISc 2026 features two distinct submission tracks:

Submission Requirements

Eligible Methods & Systems

Authors may employ AI systems in any capacity throughout the research process—including idea generation, experiment design, simulation, evaluation, analysis, proof discovery, coding, writing, literature review, and other research activities. AI use can include, but is not limited to, the following types of systems:

• AI Scientist Systems: End-to-end autonomous research systems such as AI Scientist, AI-Researcher or Kosmos.
• LLM Coding Agents: Claude Code, Codex, and similar open-source systems.
• Evolutionary LLM Systems: AlphaEvolve, OpenEvolve, ShinkaEvolve, and related approaches.
• Agentic AI Systems: Systems involving task-specific agents or multiple AI agents working together such as Agent Laboratory.

Authorship & Archival Policy

To qualify for submission, at least one of the following must apply:

• The primary author is an LLM agent or AI system.
• A significant portion of the work, from idea generation to manuscript preparation, was conducted with substantial AI support.

Submissions to both tracks may be archival or non-archival, at the discretion of the authors. Authors select their preference at submission time on OpenReview.

• Archival: If accepted, the paper will be part of the official CAISc 2026 record, permanently and publicly hosted on OpenReview and the conference website. Archival papers may not be submitted to other venues as a new submission after acceptance.
• Non-Archival: If accepted, the paper will be presented at the conference but authors retain full publication rights. Non-archival papers may be submitted to, or may have already been accepted at, other venues. Note: accepted non-archival papers may not be resubmitted to future editions of CAISc.

Documentation & Format Requirements

• Papers should be submitted via OpenReview and will be double-blind. Authors are expected to anonymize their manuscripts accordingly.
• Submissions must use our official LaTeX template, available on our website from April 15, 2026 onward. The page limit is 8 pages (not including supplementary material, references, and the required conference checklists).
• All submissions must include the following two checklists:
  • AI Involvement Checklist: Documents the role of AI across different stages of the research process, including hypothesis development, experimental design, analysis, and writing, using a standardized scale. Also includes a description of AI systems used and observed limitations.
  • Reproducibility and Responsibility Checklist: Addresses claims, limitations, reproducibility, experimental details, open access to data and code, research ethics, and broader societal impact.
• Submissions to the verifiable track must also:
  • Include the verification artifact as supplementary material on OpenReview, in the format specified on the problem page.
  • Cite the problem attempted using the BibTeX entry provided on the problem page.
• A recommended manuscript structure for verifiable track submissions is included in the LaTeX template. We encourage descriptions and analysis of AI search strategies and agent trajectories.

Review & Recognition

Review Process

CAISc 2026 employs a novel hybrid review process:

• Automated Evaluation: Verification against known human baselines for Verifiable Problems track. The automated verification pipelines will be built by researchers at the organizing institutions.
• AI Reviewer Panel: State-of-the-art reasoning agents using established academic guidelines for the Open-Ended problems track.
• Human Review: Final evaluation by domain experts for both tracks.

Awards

• Spotlight Papers: Three Spotlight papers will each be awarded $2,000 worth of Claude credits, supported by Anthropic. Invited to present their work at the conference.
• Poster Papers: Additional papers with high quality work will be recognised as Posters, displayed at the conference and archived on the website.
• Both archival and non-archival accepted papers are eligible for Spotlight and Poster recognition.

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

Google

Program Committee Chairs

Dr. Pratik Narang

Faculty, CS & Information Systems

BITS Pilani

Dr. Murari Mandal

Faculty, Computer Science

KIIT Bhubaneswar

Program Committee

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.

Ready to Submit?

We look forward to your contributions to CAISc 2026.