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010   $a3-031-39311-2
024 7 $a10.1007/978-3-031-39311-2
035   $a(MiAaPQ)EBC31063529
035   $a(Au-PeEL)EBL31063529
035   $a(DE-He213)978-3-031-39311-2
035   $a(OCoLC)1417151714
035   $a(CKB)29576133300041
035   $a(EXLCZ)9929576133300041
100   $a20240102d2024      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aQuantitative Sustainability $eInterdisciplinary Research for Sustainable Development Goals /$fedited by Stefano Fantoni, Nicola Casagli, Cosimo Solidoro, Marina Cobal
205   $a1st ed. 2024.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2024.
215   $a1 online resource (198 pages)
311   $a3-031-39310-4 
327   $aPreface.-Forward.-Laboratory structure -- The blue planet and the ocean sustainable economy -- Food security and the health of the planet and its inhabitants -- Climate and environmental changes -- The new data science for sustainability and huiman ecology -- Energy transition and indiustrial product chains -- Sustainability frames and social equity and the right to sustainability -- Protection of the Earth habitats with Space tools.
330   $aThis 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.
606   $aSystem theory
606   $aSustainability
606   $aArtificial intelligence$xData processing
606   $aBioclimatology
606   $aFood security
606   $aEnergy policy
606   $aEnergy policy
606   $aComplex Systems
606   $aSustainability
606   $aData Science
606   $aClimate Change Ecology
606   $aFood Security
606   $aEnergy Policy, Economics and Management
615  0$aSystem theory.
615  0$aSustainability.
615  0$aArtificial intelligence$xData processing.
615  0$aBioclimatology.
615  0$aFood security.
615  0$aEnergy policy.
615  0$aEnergy policy.
615 14$aComplex Systems.
615 24$aSustainability.
615 24$aData Science.
615 24$aClimate Change Ecology.
615 24$aFood Security.
615 24$aEnergy Policy, Economics and Management.
676   $a530.1
700   $aFantoni$b Stefano$01473633
701   $aCasagli$b Nicola$0269976
701   $aSolidoro$b Cosimo$01585489
701   $aCobal$b Marina$01585490
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910799275503321
996   $aQuantitative Sustainability$93870666
997   $aUNINA