Call for papers - AI for climate change mitigation: modeling and actionable insights

Guest Editors

Cosimo Magazzino, PhD, Roma Tre University, Italy
Rasikh Tariq, EngD, Tecnologico de Monterrey, Mexico

Submission Status: Open | Submission Deadline: 23 June 2025

BMC Artificial Intelligence is calling for submissions to our Collection, AI for climate change mitigation: modeling and actionable insights. This Collection gathers research on the use of AI to tackle climate change, focusing on modeling and actionable insights. We welcome submissions that explore the application of AI, machine learning, and deep learning, in addressing climate challenges, with the aim of informing evidence-based strategies for sustainable environmental management.

New Content Item This Collection supports and amplifies research related to SDG 11: Sustainable Cities & Communities and SDG 13: Climate Action

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Meet the Guest Editors

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Cosimo Magazzino, PhD, Roma Tre University, Italy

Cosimo Magazzino is currently a Professor of Economic Policy, European Economic Policy, and Environmental and Energy Economics in the Department of Political Science, Roma Tre University. His research interests include: public finance, energy econometrics, environmental Kuznets curve, time series econometrics, panel data models, Machine Learning experiments, Artificial Neural Network analyses, environmental sustainability, circular economy, waste management, transportation infrastructure, and agricultural economics.

Rasikh Tariq, EngD, Tecnologico de Monterrey, Mexico

Rasikh Tariq is a mechanical and mechatronics engineer, holding a doctorate in Engineering with a specialisation in Renewable Energies from the Autonomous University of Yucatan. His research area focuses on AI, machine learning, digital twins, and optimization for the understanding of cyber-physical systems. He is currently Research Professor in the Educational Technology research group of the Institute for the Future of Education at the Tecnológico de Monterrey.

About the Collection

BMC Artificial Intelligence is calling for submissions to our Collection, AI for climate change mitigation: modeling and actionable insights.

The use of artificial intelligence (AI) to tackle climate change has garnered increasing attention as a promising approach to address the complex challenges posed by climate change. AI technologies, including machine learning and deep learning, offer opportunities to model environmental systems, optimize renewable energy deployment, reduce carbon emissions, and inform climate policy.

It is important for us to continue advancing our collective understanding in this area to harness the potential of AI for climate change mitigation. Recent advances have demonstrated the capacity of AI to enhance the accuracy of climate models, optimize energy systems, and facilitate data-driven decision-making for climate policy. Moreover, AI-driven innovations in green technology and smart infrastructure have shown promise in reducing environmental impact and promoting sustainable development.

We invite contributions that examine a wide range of topics relating to the application of AI in climate change mitigation, including but not limited to:

Environmental modeling for climate change impact assessment and prediction
Optimization of renewable energy sources for maximum efficiency and cost-effectiveness
Implementation of energy-efficient technologies and practices for reducing carbon footprint
Integration of smart grid systems for improved energy distribution and management
Strategies for biodiversity conservation and restoration in the face of climate change challenges

Please email Alison Cuff, the editor for BMC Artificial Intelligence, (alison.cuff@biomedcentral.com) if you would like more information before you submit.

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, Snapp. During the submission process you will be asked whether you are submitting to a Collection, please select "AI for climate change mitigation: modeling and actionable insights" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.