000			a
999			_c30605 _d30605
008			220106b xxu||||| |||| 00| 0 eng d
020			_a9783030789848
082			_a658.403 _bLAP
100			_aLapucci, Massimo ed.
245			_aData science for social good : philanthropy and social impact in a complex
260			_bSpringer, _c2021 _aCham :
300			_axii, 99 p. ; _bill. (some color), _c24 cm
365			_b54.99 _cEUR _d88.70
490			_aSpringerBriefs in complexity, _v2191-5334
504			_aIncludes bibliographical references.
520			_aThis book is a collection of reflections by thought leaders at first-mover organizations in the exploding field of "Data Science for Social Good", meant as the application of knowledge from computer science, complex systems and computational social science to challenges such as humanitarian response, public health, sustainable development. The book provides both an overview of scientific approaches to social impact identifying a social need, targeting an intervention, measuring impact and the complementary perspective of funders and philanthropies that are pushing forward this new sector. This book will appeal to students and researchers in the rapidly growing field of data science for social impact, to data scientists at companies whose data could be used to generate more public value, and to decision makers at nonprofits, foundations, and agencies that are designing their own agenda around data.
650			_aDecision making Statistical methods
650			_aSocial service Statistical methods
650			_aSocial service Data processing
650			_aComplex Systems
650			_aData Structures and Information Theory
650			_aPublic Health
700			_aCattuto, Ciro _eed.
942			_2ddc _cBK