Lapucci, Massimo ed.

Data science for social good : philanthropy and social impact in a complex - Cham : Springer, 2021 - xii, 99 p. ; ill. (some color), 24 cm - SpringerBriefs in complexity, 2191-5334 .

Includes bibliographical references.

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.


Decision making Statistical methods
Social service Statistical methods
Social service Data processing
Complex Systems
Data Structures and Information Theory
Public Health

658.403 / LAP

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