Data Science for Social Good

Philanthropy and Social Impact in a Complex World

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Détails du livre

Titre : Data Science for Social Good
Pages : 99
Collection : SpringerBriefs in Complexity
Parution : 2021-10-13
Éditeur : Springer
EAN papier : 9783030789848
À propos du livre



This 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.

Format EPUB - Nb pages copiables : 0 - Nb pages imprimables : 9 - Poids : 1393 Ko - - Prix : 68,56 € - EAN : 9783030789855

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