Data-Driven Sustainable Development: Techniques and Applications
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: 15 May 2025 | Viewed by 1684
Special Issue Editors
Interests: data science; network science; knowledge science; anomaly detection
Special Issues, Collections and Topics in MDPI journals
Interests: computational communication (environmental communication, crisis communication); digital literacy; AI social governance
Interests: critical data studies; the public sphere; platforms and social governance; feminist media studies; environmental communication
Interests: computational social science; network science; bioinformatics; deep learning
Special Issue Information
Dear Colleagues,
With the increasingly severe depletion of global resources, environmental degradation, alongside the evolution of human civilization, and the deepening of ecological protection concepts, sustainable development has become a global consensus. Big data contains rich information and potential knowledge, opening up a new data-driven research approach for studying sustainable development and, ultimately, greatly facilitating the pursuit of sustainable development. Data-driven sustainable development research integrates numerous data and technologies of computer science, information science, applied mathematics, statistics, and others to balance environmental, economic, and social needs, and it can be applied to a range of domains, such as ecological diversity, natural resource management, biological and environmental engineering, urban planning, energy, health, agriculture, education, transportation, etc.
Although data-driven sustainable development research has made great progress in various application scenarios, there are still many challenges and open problems that need to be addressed by researchers and practitioners. Therefore, this Special Issue aims to integrate technologies, theories, and methodologies across disciplines to promote data-driven sustainable development research so as to propel the relentless progression and expansion of practical applications in the real world. We welcome original research papers, reviews, and perspectives that deal with all aspects of theories, techniques, and applications of data and analytics in sustainable development research, including, but not limited to, the following:
- Advanced technologies and applications of data-driven artificial intelligence in sustainable development research;
- Data-driven techniques for real-world sustainable application scenarios, including health, education, policy making, transportation, commerce, social networks, IOT, etc.;
- Advanced data modeling, data mining, data fusion, and processing technologies and challenges in sustainable development;
- Challenges and ethical considerations in data-driven sustainable development, including privacy concerns, data governance, potential for bias in data-driven models, etc.;
- Artificial intelligence techniques for exploring applications of sustainable development, including a range of advanced methodologies such as machine learning, deep learning, optimization algorithms, etc.;
- AI-enhanced circular economy models for sustainable development, which examine how AI can facilitate the implementation of circular economy models;
- Big data analytics in sustainable development research, including monitoring and preserving ecological diversity, assessing environment degradation, predicting ecological outcomes, etc.;
- Advanced data-driven approaches for exploring the use of data science or machine learning in sustainable application scenarios.
Dr. Shuo Yu
Dr. Tong Zhang
Dr. Yu Sun
Dr. Hayat Dino Bedru
Dr. Chaofan Chen
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
- big data
- data science
- machine learning
- artificial intelligence
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