Data Science for Social Good

Beschreibung

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.

Provides timely research on data science for social impact, with connections to complex systems, machine learning and artificial intelligence Offers contributed chapters by recognized, world-class leaders at leading philanthropies / foundations / think tanks that support science for social impact Connects the perspectives of researchers and funders, outlining a research agenda and open problems in the field

Autor*in

Massimo Lapucci

Themen in »Data Science for Social Good«

Philanthropy in Science Digital Demography Data Collaboratives Digital Epidemiology Data for Good Artificial Intelligence for Humanitarian Response Funding Data Ecosystem

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