Téléchargez le livre : Data Science for Social Good

Data Science for Social Good

Philanthropy and Social Impact in a Complex World de

,

Éditeur :

Springer


Collection :

SpringerBriefs in Complexity

Paru le : 2021-10-13

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Description


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.
Pages
99 pages
Collection
SpringerBriefs in Complexity
Parution
2021-10-13
Marque
Springer
EAN papier
9783030789848
EAN PDF
9783030789855
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1700 Ko
Prix
68,56 €
EAN EPUB
9783030789855
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
9
Taille du fichier
1393 Ko
Prix
68,56 €

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