Quantitative Sustainability
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 interd...
| Autores principales: | , , , |
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| Formato: | Libro |
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Springer International Publishing
2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=3770538&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 3770538 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Quantitative Sustainability aug: au: Stefano Fantoni Nicola Casagli Cosimo Solidoro Marina Cobal isbn: 9783031393105 9783031393112 imageinfo: pubinfo: dt: @attributes: year: 2024 month: 01 day: 01 dtAvail: @attributes: year: 2026 month: 06 day: 04 pub: Springer International Publishing pubContract: Springer Nature place: [N.p.] price: 0.01 limitsGroup: maxCheckoutDays: 1500 copyPages: 10 pda: N printPagesOffline: 10 printPagesOnline: 10 previewPages: 0 prePubGroup: dewey: @attributes: class: 530.1 item: 530 .1 lc: @attributes: class: Q295 item: Q 295 artinfo: ui: 3770538 1386700088 formats: fmt: – @attributes: type: EB doid: NL$3770538$PDF caption: PDF download: Y – @attributes: type: EK doid: NL$3770538$EPUB caption: EPUB download: Y tig: atl: Quantitative Sustainability ptl: Quantitative Sustainability aug: au: Stefano Fantoni Nicola Casagli Cosimo Solidoro Marina Cobal su: System theory Sustainability Artificial intelligence—Data processing Bioclimatology Food security Energy policy Energy and state sug: subj: SCIENCE / System Theory BUSINESS & ECONOMICS / Industries / Energy COMPUTERS / Artificial Intelligence / General COMPUTERS / Database Administration & Management SCIENCE / Life Sciences / Ecology SCIENCE / Environmental Science TECHNOLOGY & ENGINEERING / Food Science / Food Safety & Security System theory Sustainability Artificial intelligence—Data processing Bioclimatology Food security Energy policy Energy and state ab: 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. pubtype: eBook doctype: Book ougenre: Book language: English copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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