Inspired by the Open Conference of AI Agents for Science (2025) at Stanford University, we propose a new kind of academi...
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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.
