Artificial Intelligence for Sustainability
A special issue of Sustainability (ISSN 2071-1050).
Deadline for manuscript submissions: closed (30 September 2020) | Viewed by 951
Special Issue Editors
Interests: AI; Distributed and Cloud Systems; Resilient Enterprise Systems;
Special Issues, Collections and Topics in MDPI journals
Interests: geospatial analysis; spatio-temporal change; cities and regions; place-based policies; socio-economic wellbeing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With recent technological advances, AI is a major enabler in various fields including sustainable development. AI methods enable sustainability goals and provide value along all of its dimensions: economic, social, environmental, technical, and individual. AI has improved the ability to tackle complexity and improve understanding of important causative variables and sources, as well as provide tools to affect the outcomes. The contribution of AI applications to the overall global GDP is expected to be significant over the next decade. Some key areas that are expected to particularly benefit include: transportation and urban development, water resources management, energy efficiency, agriculture and climate research. We welcome papers that focus on the application of novel methods in AI for knowledge representation, learning including deep learning and neural networks, reasoning and search, as well as forecasting. Case studies of applications of data science methods and visualization tools, particularly open source, are of interest as they inform research, policy making and practice in sustainability.
Topics may include, but are not limited to:
- Novel applications of learning and neural networks in particular in the areas of transportation and urban development, water resources management, energy efficiency, agriculture and climate research
- AI systems that leverage domain knowledge in the field of Sustainability
- Knowledge representation, search and analysis
- Explainable AI (XAI) and visualization methods for understanding causal variables
- AI enabled IoT for measurement and response at the Edge
- Rule based systems
- Open Source AI tools and systems for Sustainability
- Open Data projects for research
- Cloud enablement of AI for Sustainability
- Tools for Human/AI partnership
Dr. Prabhakar Kudva
Prof. Jean-Claude Thill
Guest Editors
Manuscript Submission Information
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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
- Sustainability
- Urban Development
- Water Resources Management
- Energy Efficiency
- Agriculture
- Deep Learning
- Data Science
- Visualization
- Explainable Machine Learning
- Climate Research
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