Data Science for Social Good

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.

Data Science for Social Good features in the following genres: Cybernetics and systems theory, Public health and preventive medicine, Databases

Paperback. £49.49, down from the £54.99 cover price. Not Available.

Data Science for Social Good was written by Massimo Lapucci, Ciro Cattuto and published by Springer an imprint of Springer International Publishing

Data Science for Social Good has 99 pages

Yes it is part of SpringerBriefs in Complexity series

£49.49, reduced from £54.99. Not Available.