Explore
Quantitative Sustainability
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 23 times via unglue.it ebook links.
- 23 - pdf (CC BY) at Unglue.it.
Keywords
- Algorithms & data structures
- artificial intelligence
- Biology, Life Sciences
- Climate changes
- complex network
- Computer programming / software development
- Computer science
- Computing & information technology
- Data science in Sustainability
- Data Science in Sustainable Development Goals
- Ecological science, the Biosphere
- Environmental changes
- Food & beverage technology
- Food security
- Human ecology
- Industrial Chemistry
- Industrial chemistry & manufacturing technologies
- industrial processes
- Life sciences: general issues
- Mathematics & science
- Physics
- Platform For a Science-industry Dialogue
- SDG Targets
- Space science
- Statistical physics
- sustainability
- Sustainable development goals
- sustainable economy
- Technology, engineering, agriculture
- The environment
Editions