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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