We invite submissions that explore how core advancements in artificial intelligence are accelerating progress in science. AIAS 2026 focuses on transformative AI innovations that expand the boundaries of scientific discovery, from models that support prediction, interpretation, and simulation to systems that enable reasoning, hypothesis generation, and experimental discovery.
We welcome work across disciplines that advances AI as an increasingly active partner in the scientific process. In particular, we encourage contributions that develop new AI methods, deepen established directions, or demonstrate impactful applications in scientific domains.
Topics of interest include, but are not limited to:
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Foundational and frontier AI methods for scientific discovery
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Scientific reasoning, inference, and decision-making
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Hypothesis generation and discovery-oriented modeling
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AI for simulation, prediction, and interpretation in science
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Research process automation, including literature synthesis, data analysis, and experimental design
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AI systems for biology, chemistry, physics, medicine, engineering, and related fields
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Benchmarks, evaluation methods, and infrastructure for AI-accelerated science
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Reliability, robustness, safety, and human oversight in scientific AI systems
AIAS 2026 is also interested in emerging directions aligned with the broader vision of ‘Discoverative AI’: AI that contributes not only to analysis and prediction, but also to the generation of new questions, new insights, and new pathways for discovery.
We encourage submissions from researchers working at the intersection of AI and the physical, life, and applied sciences, as well as from researchers advancing the foundations of AI in ways that can accelerate scientific progress.
Important Dates
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Paper Submission Deadline: June 30, 2026
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Notification of Acceptance: August 15, 2026
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Camera Ready Deadline: September 7, 2026
Paper Submissions
Authors are invited to submit original papers that have not been previously published or accepted. Dual submissions are permitted under the following conditions and must be clearly indicated at the time of submission:
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Reviews are not guaranteed for dual submissions but will be provided only if the paper is accepted.
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The same paper cannot be published in multiple venues; authors must choose one if accepted by more than one.
We also accept extended abstracts (up to 2 pages) summarizing work that has already been published in reputable venues. Please note that unpublished work cannot be submitted as an extended abstract; such work must go through the full review process.
At least one author of each accepted paper is required to register and present in person at the conference in San Francisco, California, USA, according to the official schedule.
Submission Details
We welcome:
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Full research papers (6–8 pages)
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Short papers (2–4 pages)
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Extended abstracts (up to 2 pages)
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Vision or position papers (up to 4 pages)
Submissions must follow the AIAS formatting guidelines and be submitted via EasyChair. LaTex and MSWord templates are available on this link: https://easychair.org/publications/for_authors. Papers will be published in the EasyChair Epic Series on Computing so we recommend using their templates from the start.
Authorship Policy
Please ensure that all authors are identified before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions.
AIAS Conflict of Interest Policy
All authors must adhere to the AIAS Conflict of Interest policy.
Desk Rejection Policy
Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate AIAS’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs.
AIAS Policy Against Harassment
All authors and participants must adhere to the AIAS Policy Against Harassment.