Overview
- 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
Part of the book series: SpringerBriefs in Complexity (BRIEFSCOMPLEXITY)
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Table of contents (8 chapters)
Keywords
About this book
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.
Editors and Affiliations
About the editors
Prof. Ciro Cattuto, PhD is an Associate Professor in the Computer Science Department of the University of Turin (Turin, Italy) and a Principal Researcher and Research Area Coordinator at ISI Foundation (Turin, Italy). His interests include data science, complex systems, public health, and the social impact of data. He holds a PhD in Physics from the University of Perugia, Italy and has carried out interdisciplinary research at the University of Michigan, USA, at the Enrico Fermi Center and Sapienza University in Rome, and at the Frontier Research System of RIKEN, Japan. He is a founder and principal investigator of the SocioPatterns collaboration, an international effort on studying social networks with wearable sensors, with applications to epidemiology. He is an editorial board member of Nature Scientific Data, EPJ Data Science, PeerJ Computer Science, Journal of Computational Social Science, Data & Policy journals. He was an organizer and chair of leading conferences in Computer Science, Data Science, Network Science and Complex Systems. He is a Fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS). He was a member of the Covid-19 task force of the Italian Ministry for Technological Innovation and Digitization. His research was featured in the national and international press.
Bibliographic Information
Book Title: Data Science for Social Good
Book Subtitle: Philanthropy and Social Impact in a Complex World
Editors: Massimo Lapucci, Ciro Cattuto
Series Title: SpringerBriefs in Complexity
DOI: https://doi.org/10.1007/978-3-030-78985-5
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-78984-8Published: 14 October 2021
eBook ISBN: 978-3-030-78985-5Published: 13 October 2021
Series ISSN: 2191-5326
Series E-ISSN: 2191-5334
Edition Number: 1
Number of Pages: XII, 99
Number of Illustrations: 2 b/w illustrations, 3 illustrations in colour
Topics: Complex Systems, Data Structures and Information Theory, Artificial Intelligence, Public Health