Advancing Sustainable Development Through Artificial Intelligence (AI)
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Environmental Sustainability and Applications".
Deadline for manuscript submissions: 28 April 2025 | Viewed by 1079
Special Issue Editors
Interests: water resources; hydrology; AI; climate change; sustainable development; time series; hydrological modelling; machine learning
Special Issues, Collections and Topics in MDPI journals
Interests: artificial intelligence; big data analytics; geology, hydrology; remote sensing; time series analysis
Special Issues, Collections and Topics in MDPI journals
Interests: water erosion; sediment transport; hydrology; environmental modeling; numer-ical methods; water resources
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to invite you to contribute to a Special Issue titled "Advancing Sustainable Development Through Artificial Intelligence (AI)" in the Sustainability journal. As the world faces the pressing challenges of climate change, resource depletion, and social inequality, the role of AI in driving sustainable development has become increasingly significant. AI offers the potential to optimize resource usage, enhance decision-making processes, and build more resilient and equitable systems, making it a critical area of research in our journey toward a sustainable future.
This Special Issue aims to explore the intersection of AI and sustainable development, focusing on how AI technologies can be leveraged to address a broad range of applications while ensuring a cohesive collection of high-impact articles.
We welcome submissions on the following themes:
- AI for Climate Change Mitigation and Adaptation
- AI-driven Resource Management (e.g., Water, Energy, Agriculture)
- Smart Cities and Sustainable Urban Planning
- AI in Environmental Monitoring and Conservation
- Ethical and Social Implications of AI in Sustainable Development
- AI-based Decision Support Systems for Sustainable Practices
- Integration of AI with IoT for Sustainable Solutions
We look forward to receiving your contributions and showcasing innovative research that advances the field of sustainable development through the application of AI.
Dr. Hossein Bonakdari
Dr. Ebrahim Ghaderpour
Dr. Silvio José Gumiere
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 100 words) can be sent to the Editorial Office for announcement on this website.
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 (AI)
- sustainable development
- climate change mitigation
- resource management
- environmental monitoring
- smart cities
- decision support systems (DSS)
- Internet of Things (IoT)
- ethical AI
- resilient systems
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