Quantitative Sustainability Interdisciplinary Research for Sustainable Development Goals

• Format: eBook
• Language: English
• Published: Cham Springer Nature 2024
• Subjects: Climate Changes; Complex Network; Data science in Sustainability; Data Science in Sustainable Development Goals; Environmental Changes; Food Security; Human Ecology; Industrial Processes; Platform For a Science-industry Dialogue; SDG Targets; Space Science; Sustainable Development Goals; Sustainable Economy; thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general::GPF Information theory::GPFC Cybernetics and systems theory; 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; 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::RNP Pollution and threats to the environment::RNPG Climate change; thema EDItEUR::R Earth Sciences, Geography, Environment, Planning::RN The environment::RNU Sustainability; thema EDItEUR::U Computing and Information Technology::UN Databases
• Online Access: Open Access: DOAB: description of the publication; Open Access: DOAB, download the publication
• Physical Description: 1 online resource (187 p.)
• ISBN: 978-3-031-39311-2; 9783031393105; 9783031393112
• Access: Open Access

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.