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.
