sustainability-logo

Journal Browser

Journal Browser

Artificial Intelligence for Sustainability: From Green Algorithms to Smart Applications

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".

Deadline for manuscript submissions: 3 February 2027 | Viewed by 411

Special Issue Editors


E-Mail Website
Guest Editor
Department of Engineering, University of Perugia, Perugia, Italy
Interests: artificial intelligence; uncertainty quantification; software engineering; sustainability; instrumentation and measurement

E-Mail Website
Guest Editor
Institute for High Performance Computing and Networks (ICAR) of the National Research Council of Italy (CNR), Naples, Italy
Interests: artificial intelligence; signal analysis; pattern recognition; interpretability and explainability; machine learning; deep learning
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Faculty of Computer Applications, Marwadi University, Rajkot 360007, India
Interests: artificial intelligence; sustainable technologies; cyber security; semantic web; ontology

Special Issue Information

Dear Colleagues,

Introduction: Artificial Intelligence (AI) has become a pivotal technology in driving the global transition toward sustainability. From optimizing energy grids to enhancing precision agriculture and circular economy models, AI offers unprecedented opportunities to address climate change. However, the rapid deployment of AI also raises concerns regarding its own environmental footprint and the reliability of its predictions. This Special Issue focuses on the intersection of advanced computing and sustainable development, emphasizing the need for rigorous metrics and robust methods. We warmly invite contributions from a broad range of disciplines—including computer science, engineering, and environmental studies—to ensure a multifaceted perspective on building a more sustainable future through technology.

Aim of the Special Issue: This Special Issue aims to gather high-quality research that addresses the dual challenge of "AI for Sustainability" (applications) and "Sustainable AI" (energy-efficient algorithms and hardware). A specific focus is placed on the metrics and methods used to quantify the environmental impact of AI models and the uncertainty of their predictions in critical environmental systems. The goal is to provide a collection of articles that bridges the gap between software engineering, metrology, and environmental science.

Suggested themes and article types: In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Green AI: Metrics and methods for measuring and reducing the carbon footprint of model training and inference.
  • AI for Environmental Solutions: Machine learning applications in climate modeling, smart grids, waste management, and precision agriculture.
  • Uncertainty Quantification: Methods for assessing the reliability and robustness of AI models in sustainability applications.
  • Software Engineering for Sustainability: Architectures and design patterns for energy-efficient software systems.
  • Smart Systems: AI-driven optimization in smart cities and transportation.
  • Ethical and Social Sustainability: The impact of AI deployment on society and long-term sustainable development goals.

We look forward to receiving your contributions.

Dr. Emanuele Buchicchio
Dr. Giovanna Sannino
Dr. Ripal Ranpara
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • artificial intelligence
  • green computing
  • energy efficiency
  • smart systems
  • uncertainty quantification, sustainable ai
  • enterprise information systems
  • software sustainability
  • energy-aware computing
  • environmental decision support

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers

This special issue is now open for submission.
Back to TopTop