Computational Methods and Data-Driven Techniques in Sustainability Science

Dear Colleagues,

Sustainability science has emerged as a new academic discipline that aims to understand and address challenges that threaten the future well-being of humanity, such as climate change, pollution, and depletion of energy and resources. Computer methods make great contributions to sustainability science by applying the techniques from applied mathematics, computer science, information science, statistics, and operations research fields. Particularly, with the explosive growth of data and fast development of artificial intelligence in recent years, data-driven techniques have been incorporated into computational science that boost the accuracy and efficiency of prediction. On one hand, solving the problems in sustainability science poses great challenges to both modelling and computing because it is a multidisciplinary field involving the complex interaction between human, societal, economic, and environmental needs. On the other hand, sustainability problems offer opportunities for the advancement of the state-of-the-art of computational science. Hence, consistent efforts should be made to enrich our knowledges in this research field.

The aim of this Special Issue is to bring together original research articles and review articles highlighting recent advances in mathematical models, numerical algorithms, statistical analysis, and data-driven techniques in sustainability science. In addition to engineering applications, we encourage submissions that investigate the computational social science for decision making concerning the management of resources, improvement of energy efficiency, maintenance of biological diversity, and other services in sustainability transition.

Dr. Haojie Lian
Dr. Xiao Lin
Dr. Wenjun Yuan
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.