2nd International Workshop on Artificial Intelligence for Climate Change (AI4CC 2026)
Artificial Intelligence (AI) and machine learning (ML) can support climate change mitigation and adaptation, as well as advance climate science, across many different sectors like energy, agriculture, forestry, climate modeling, and disaster response. However, the relationship between AI and climate change is nuanced, and can manifest in various ways that either contribute to or counteract climate action. Thus, the use of AI for climate action must be conducted responsibly and should ideally have quantifiable impacts.
The AI4CC Workshop aims at bringing together researchers interested in different aspects of Artificial Intelligence and Climate Change, and to introduce new researchers to the community. The aim of this workshop is to attract an international audience, seeking contributions and participation from AI experts and climate change specialists worldwide. Submissions to this event are here solicited. Each contribution will be reviewed by members of a strong international Program Committee. Original and already published papers will be made available via this workshop web-site.
AI4CC-2024 will be held on 6-9 October in conjunction with the 24th International Conference of the Italian Association for Artificial Intelligence – AIxIA 2026, Perugia, Italy
Important Dates
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Paper submission: July 30, 2026
Notification to authors for Workshop participation: August 30, 2026
AIxIA early registration: September 4, 2026 — please check the applicable time zone.
Notification to authors of acceptance for inclusion in the Proceedings: September 30, 2026
Workshop: October 6-9, 2026
Camera-Ready submission: October 30, 2026
All deadlines refer to AoE (Anywhere on Earth).
Submissions
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All submitted papers will be evaluated by at least two members of the program committee, based on originality, significance, relevance and technical quality. Papers should be formatted according to the CEUR-WS's single-column style (http://ceur-ws.org/HOWTOSUBMIT.html).
We welcome two categories of paper submission:
Full papers: (more than 10 pages) These should report work in progress or completed work. Authors of full papers that are accepted by the Programme Committee will be invited to give a talk on the paper.
Short papers: (up to 9 pages) These should report views or ambitions, or describe problems. The author(s) will be able to discuss the paper informally with others at the workshop and will be invited to give a short presentation on their work.
Extended abstracts: (up to 2 pages, plus references) To foster the exchange of ideas at IPS, we encourage authors to submit extended abstracts of original work, work-in-progress, or work which has appeared in or is under review at other venues such as AAAI/ICAPS/IJCAI/KR. The author(s) will be able to discuss the paper informally with others at the workshop and will be invited to give a short presentation on their work.
Submissions should be single blinded, i.e. authors names should be included in the submissions. Submissions must be made through the CMT conference system (https://cmt3.research.microsoft.com/AIforCC2026) before the indicated deadline. At least one of the authors should register and take part at the conference to make the presentation.
AI4CC proceedings will be published in CEUR Workshop Proceedings series. Together with the AIxIA, the AI4CC organizing committee is investigating ways to publish the proceedings in a series of Lecture Notes in Artificial Intelligence (Springer). An opportunity to publish in this series is given to both short and long papers, provided that the work has not been published before and a proper revision of the content of the paper is done so as to meet LNAI standards. Original accepted papers will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Google Scholar. Note that papers shorter than 5 pages will not be indexed by scopus.
Authors of already published papers must clearly indicate this information in their submission.
This workshop is supported by Climate Change AI and PRIMA-MED.
CMT Acknowledgment: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
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