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oapen-20.500.12657-868872024-01-15T17:32:52Z 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 bic Book Industry Communication::P Mathematics & science::PH Physics::PHS Statistical physics bic Book Industry Communication::R Earth sciences, geography, environment, planning::RN The environment::RNU Sustainability bic Book Industry Communication::U Computing & information technology::UM Computer programming / software development::UMB Algorithms & data structures bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence bic Book Industry Communication::P Mathematics & science::PS Biology, life sciences::PSA Life sciences: general issues::PSAF Ecological science, the Biosphere bic Book Industry Communication::T Technology, engineering, agriculture::TD Industrial chemistry & manufacturing technologies::TDC Industrial chemistry::TDCT Food & beverage technology 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. 2024-01-15T16:45:23Z 2024-01-15T16:45:23Z 2024 book ONIX_20240115_9783031393112_16 9783031393112 9783031393105 https://library.oapen.org/handle/20.500.12657/86887 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 730db06c-564e-49ad-a9af-38a4c9fb59b2 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 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.
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