Data Science for Social Good : Philanthropy and Social Impact in a Complex World Paperback / softback
Edited by Massimo Lapucci, Ciro Cattuto
Part of the SpringerBriefs in Complexity series
Paperback / softback
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:99 pages, 3 Illustrations, color; 2 Illustrations, black and white; XII, 99 p. 5 illus., 3 illus. in
- Publisher:Springer Nature Switzerland AG
- Publication Date:14/10/2021
- Category:
- ISBN:9783030789848
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:99 pages, 3 Illustrations, color; 2 Illustrations, black and white; XII, 99 p. 5 illus., 3 illus. in
- Publisher:Springer Nature Switzerland AG
- Publication Date:14/10/2021
- Category:
- ISBN:9783030789848
