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.

Submission Tracks

For the first edition, we welcome submissions across fundamental science domains including Physics, Chemistry, Biology, Mathematics, Computer Science, Artificial Intelligence, 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 Criteria

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.

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. This will be released on our website along with the opening of submissions on April 15, 2026.
• Submissions to CAISc will include the following checklists:
  • AI Involvement: Detailed documentation of AI models used, their roles, the level of autonomy granted, and related AI use artifacts.
  • Human Intervention: Clear specification of where and how human researchers intervened in the process.
  • Responsibility & Reproducibility: Acknowledgment of ethical considerations, accountability, and information enabling replication of the research process.

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.

Team

Organizing Committee Chairs

Dhruv Kumar

Assistant Professor, CS

BITS Pilani

Dhruv Trehan

Researcher

Lossfunk

Paras Chopra

Founder, Researcher

Lossfunk

Steering Committee

Palash Goyal

Research Scientist

Google

Mohan Kankanhalli

Director, NUS AI Institute

NUS

Shirish Karande

Principal Scientist

TCS Research

Tanmoy Chakraborty

Chair Professor in AI

IIT Delhi

Program Committee Chairs

Pratik Narang

Faculty, CS & Information Systems

BITS Pilani

Murari Mandal

Faculty, Computer Science

KIIT Bhubaneswar

Program Committee

Ready to Submit?

We look forward to your contributions to CAISc 2026.