Novel Decision Technology Analytics for Evaluating Sustainable Strategies and Environmental Operations
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".
Deadline for manuscript submissions: 30 April 2024 | Viewed by 1989
Special Issue Editor
Interests: environmental informatics; simulation decomposition; simulation-optimization; machine learning; visual analytics; waste management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue is seeking applied analytics papers that describe either the creation of new methods or provide innovative applications of existing computational methods for assisting with the analysis of sustainability strategies and environmental operations. In practice, environmental analytics is an integration of science, visualization methods, and computational analytics and techniques that combines computers, computational intelligence, information technology, mathematical modeling, and system science into the assessment of “real-world” sustainability and environmental problems. Contributions to this Special Issue should investigate novel computational approaches – be this on the side of modeling, computational solution procedures, optimization, simulation, or various analytical technologies – as applied to sustainability analysis or environmental decision-making. In line with the aims and scope of this Special Issue, manuscripts should emphasize the practical relevance or the methodological contributions of the work to the analysis of sustainability strategies and environmental operations.
Topics can include:
- Decision technology approaches applied to sustainable strategies and environmental operations;
- Applied visual and/or computational analytics procedures;
- Simulation, optimization, and metaheuristic approaches used for sustainable strategy analysis;
- Machine learning, information technology, and expert systems for the analysis of sustainable and environmental operations;
- Methods for guidance and assistance in environmental strategy formulation and decision-making;
- Measures for coping with uncertainty in data, models, and decision-making;
- Multi-criteria decision-making;
- Areas of application including all aspects of sustainable strategy and environmental operations, such as waste, water, energy, climate change, industrial ecology, resource recovery, and recycling.
Prof. Dr. Julian Scott Yeomans
Guest Editor
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
- environmental decision-making
- simulation
- optimization
- computational analytics
- visual analytics
- sustainability
- strategy
- operations
- analysis
- waste management
- water resource planning
- energy
- climate change
- industrial ecology
- resource recovery
- recycling
