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            Quantitative Sustainability

            Interdisciplinary Research for Sustainable Development Goals

            Thumbnail
            Contributor(s)
            Fantoni, Stefano (editor)
            Casagli, Nicola (editor)
            Solidoro, Cosimo (editor)
            Cobal, Marina (editor)
            Language
            English
            Afficher la notice complète
            Résumé
            This open access book focuses on how scientific methodologies can help industrial managers, entrepreneurs and policymakers handle the 17 Sustainable Development Goals in an efficient and realistic way. It also offers an operative scheme for scientists to overcome their discipline barriers. Is interdisciplinarity an intrinsic research value or is it merely instrumental for handling the increasing flux of open problems that sustainability poses to science?Can these problems of sustainability be solved with what the authors already know? Is it just a matter of having the right people at the table and giving them sufficient resources, or is it something more? Is meeting the needs of the present without compromising those of future generations a scientific definition of sustainable development? Questions similar to those posed in the sixties regarding complexity must be asked about sustainability today. In addition, the new data science includes powerful tools for making novel quantitative predictions about future sustainability indicators, an open problem that the book discusses. This book is primarily addressed to Ph.D. students, postdocs and senior researchers in the Life and Hard Science (LHS) and Social Sciences and Humanities (SSH) disciplines, as well as professionals of the primary, secondary and tertiary industrial sectors.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/177936
            Keywords
            Sustainable Development Goals; Data science in Sustainability; SDG Targets; Data Science in Sustainable Development Goals; Complex Network; Food Security; Climate Changes; Environmental Changes; Human Ecology; Sustainable Economy; Space Science; Platform For a Science-industry Dialogue; Industrial Processes
            DOI
            10.1007/978-3-031-39311-2
            ISBN
            9783031393112, 9783031393105
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2024
            Imprint
            Springer International Publishing
            Classification
            Statistical physics
            Sustainability
            Algorithms & data structures
            Artificial intelligence
            Ecological science, the Biosphere
            Food & beverage technology
            Pages
            187
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            • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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