Deep Integration of Sustainable Disaster Management and Community Resilience
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".
Deadline for manuscript submissions: 31 October 2026 | Viewed by 82
Special Issue Editors
Interests: resilience; economics; causal inference; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Disasters pose significant threats to communities worldwide, and effective disaster management is crucial for building resilience. The integration of artificial intelligence (AI) into disaster management has the potential to reduce the risk of disasters and enhance response efforts, ultimately contributing to a more sustainable future.
This Special Issue, entitled “Deep Integration of Sustainable Disaster Management and Community Resilience,” seeks to explore the intersection of AI, disaster management, and community resilience, with a focus on understanding the social, behavioral, and technical factors that influence effective and sustainable disaster management.
The scope of this Special Issue aligns with the aims and scope of Sustainability, which includes challenges relating to sustainability, socio-economic and scientific approaches to sustainable development, and other topics related to sustainability. Specifically, this Special Issue will feature original research articles and reviews that showcase recent advancements in AI for disaster management and community resilience, with a focus on understanding the social and behavioral aspects of disaster management and the role of AI in shaping community resilience.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- AI-powered disaster management systems;
- Social and behavioral aspects of disaster management;
- Technical advancements in AI for disaster management;
- Evaluation and validation of AI-powered disaster management systems.
We look forward to receiving your contributions.
Dr. Juan Fung
Dr. Susu Xu
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
- disaster management
- community resilience
- machine learning
- natural language processing
- disaster risk reduction
- emergency response
- social science
- technical advancements
- interdisciplinary research
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