===============================================================================
CALL FOR PAPERS
1st INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR CLIMATE CHANGE
Bolzano, Italy, November 28th, 2024
(held in conjunction with AI*IA 2024)
===============================================================================
The 1st INTERNATIONAL ITALIAN WORKSHOP ON ARTIFICIAL INTELLIGENCE FOR CLIMATE CHANGE (AI4CC-2024) will be hosted at the Free University of Bozen-Bolzano, Italy, in occasion of the 23rd Conference of the Italian Association for Artificial Intelligence (AI*IA 2024), November 25th - 28th, 2024.
***********************
Aim
***********************
This workshop aims at bringing together researchers interested in different aspects of Artificial Intelligence and Climate Change, and to introduce new researchers to the community. By highlighting important AI applications across various fields, the workshop aims to foster a collaborative environment for sharing insights, identifying challenges, and developing strategies to leverage AI in combating climate change.
This workshop aims to explore the potential of Artificial Intelligence (AI) in addressing the multifaceted challenge of climate change. By convening experts from diverse fields, it seeks to highlight AI's role in mitigating climate change issues. Topics include AI applications in disaster prediction, climate and Earth sciences, low-carbon technologies, water usage, resources optimization, and behavioral and social sciences related to climate change. Discussions will encompass AI governance, environmental impact assessment, and scientific discovery enhancement through AI. Additionally, technical challenges such as optimization and robustness will be addressed, with a strong emphasis on fairness, transparency, and inclusion. The workshop aims to foster collaboration and strategize AI implementation for effective climate action.
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 the
workshop web-site (https://ai4cc-2024.unibs.it).
***********************
Important Dates
***********************
Paper submission: September 29th, 2024
Notification to authors: October 6th, 2024
Camera-Ready submission: November 18th, 2024
Workshop: November 28th, 2024
All deadlines refer to AoE (Anywhere on Earth).
***********************
Topics of interest
***********************
Climate change is a multifaceted problem that requires diverse actions, ranging from theoretical advancements to the deployment of new technologies. These actions present high-impact opportunities for real-world change and pose intriguing academic research challenges.
The primary objective of this workshop is to explore and showcase how Artificial Intelligence can be leveraged to tackle this multifaceted problem. By bringing together experts from diverse fields, the workshop aims to highlight the potential of AI in both combating climate change and helping society mitigate and adapt to its impacts.
The workshop will also cover AI applications in disaster prediction, management, and relief, as well as advancements in climate and Earth sciences, ecosystems, and natural systems. Additionally, it will explore AI's role in developing low-carbon technologies like electrofuels and carbon capture, and its integration into behavioural and social sciences related to climate finance, economics, justice, and policy.
Crucial discussions will address AI governance in climate contexts, the environmental impact of AI, and enhancing scientific discovery through deep learning. The workshop will also tackle AI planning for climate change, fairness, transparency, and inclusion issues, along with technical challenges such as parallelization, software platforms, and optimization.
Workshop topics, include, but are not limited to, the following:
AI to aid mitigation approaches in relevant sectors such as agriculture, water management, traffic management, buildings and cities, heavy industry and manufacturing, power and energy systems, transportation, or forestry and other land use;
AI applied to societal adaptation to climate change, including disaster prediction, management, and relief in relevant sectors;
AI for climate and Earth science, ecosystems, hydrology and natural systems as relevant to mitigation and adaptation;
AI for R&D of low-carbon technologies such as electrofuels and carbon capture & sequestration;
AI approaches in behavioural and social science related to climate change, including those anchored in climate finance and economics, climate justice, and climate policy
Research works addressing AI governance in the context of climate change, or that aim to assess the greenhouse gas emissions impacts of AI or AI-driven applications;
Machine Learning/ Deep learning / representations learning for scientific discovery;
Fairness in machine learning, transparency, governance, and inclusion;
Learning in low-resource settings;
Optimization for representation learning;
AI Planning for climate change;
Robustness and adversarial learning;
Uncertainty in representation learning;
Generative AI and large language models;
Important Applications related to Climate Change in vision, audio, speech, multilingual contexts, robotics, neuroscience, healthcare, agriculture, pandemic response, societal and policy impact, or any other field, as well as any other topic relevant to an appreciable fraction of the AI community.
***********************
Submissions
***********************
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 three 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 AI4CC@AIxIA, 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/AI4CC2024) before the indicated deadline. At least one of the authors should register and take part at the conference to make the presentation. Authors of already published papers must clearly indicate this information in their submission.
AI4CC@AIxIA proceedings will be published in CEUR Workshop Proceedings series. Together with the AIxIA, the AI4CC@AIxIA 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.
***********************
Special Issue
***********************
We are investigating the possibility of a special issue of an international journal.
***********************
Organisation Chairs
***********************
Dr. Diego AINETO
diego.ainetogarcia@unibs.it
Department of Information Engineering
University of Brescia.
Dr. Ivan SERINA
ivan.serina@unibs.it
Department of Information Engineering
University of Brescia.