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oapen-20.500.12657-882992024-03-28T14:02:53Z Quantitative Sustainability Fantoni, Stefano Casagli, Nicola Solidoro, Cosimo Cobal, Marina 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 thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability thema EDItEUR::U Computing and Information Technology::UN Databases thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNP Pollution and threats to the environment::RNPG Climate change thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNF Environmental management::RNFF Food security and supply thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment 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 novelquantitative 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. 2024-03-13T11:09:49Z 2024-03-13T11:09:49Z 2024 book ONIX_20240313_9783031393112_9 9783031393112 9783031393105 https://library.oapen.org/handle/20.500.12657/88299 eng application/pdf n/a 978-3-031-39311-2.pdf https://link.springer.com/978-3-031-39311-2 Springer Nature Springer International Publishing 10.1007/978-3-031-39311-2 10.1007/978-3-031-39311-2 6c6992af-b843-4f46-859c-f6e9998e40d5 ab920dc7-4512-4a2f-a847-dace0c6d2702 9783031393112 9783031393105 Springer International Publishing 187 Cham [...] open access
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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 novelquantitative 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.
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