Social Collective Intelligence Combining the Powers of Humans and Ma
The book focuses on Social Collective Intelligence, a term used to denote a class of socio-technical systems that combine, in a coordinated way, the strengths of humans, machines and collectives in terms of competences, knowledge and problem solving capab
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Daniele Miorandi Vincenzo Maltese Michael Rovatsos Anton Nijholt James Stewart Editors
Social Collective Intelligence Combining the Powers of Humans and Machines to Build a Smarter Society
Computational Social Sciences A series of authored and edited monographs that utilize quantitative and computational methods to model, analyze, and interpret large-scale social phenomena. Titles within the series contain methods and practices that test and develop theories of complex social processes through bottom-up modeling of social interactions. Of particular interest is the study of the co-evolution of modern communication technology and social behavior and norms, in connection with emerging issues such as trust, risk, security, and privacy in novel socio-technical environments. Computational Social Sciences is explicitly transdisciplinary: quantitative methods from fields such as dynamical systems, artificial intelligence, network theory, agent-based modeling, and statistical mechanics are invoked and combined with state-of-the-art mining and analysis of large data sets to help us understand social agents, their interactions on and offline, and the effect of these interactions at the macro level. Topics include, but are not limited to social networks and media, dynamics of opinions, cultures and conflicts, socio-technical co-evolution, and social psychology. Computational Social Sciences will also publish monographs and selected edited contributions from specialized conferences and workshops specifically aimed at communicating new findings to a large transdisciplinary audience. A fundamental goal of the series is to provide a single forum within which commonalities and differences in the workings of this field may be discerned, hence leading to deeper insight and understanding. Series Editors Elisa Bertino Purdue University, West Lafayette, IN, USA
Larry Liebovitch Queens College, City University of New York, Flushing, NY, USA
Jacob Foster University of California, Los Angeles, CA,USA
Sorin A. Matei Purdue University, West Lafayette, IN, USA
Nigel Gilbert University of Surrey, Guildford, UK
Anton Nijholt University of Twente, Entschede, The Netherlands
Jennifer Golbeck University of Maryland, College Park, MD, USA James A. Kitts University of Massachusetts, Amherst, MA, USA
Robert Savit University of Michigan, Ann Arbor, MI, USA Alessandro Vinciarelli University of Glasgow, Scotland
More information about this series at http://www.springer.com/series/11784
Daniele Miorandi • Vincenzo Maltese Michael Rovatsos • Anton Nijholt • James Stewart Editors
Social Collective Intelligence Combining the Powers of Humans and Machines to Build a Smarter Society
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Editors Daniele Miorandi CREATE-NET Trento, Italy
Vincenzo Maltese University of Trento Trento, Italy
Michael Rovatsos School of Informatics The University of Edinburgh Edinburgh, UK
Anton Nijholt Faculty EEMCS University of Twente Enschede, The Netherlands
James Stewart The University of Edinburgh Edinburgh, UK
ISBN 978-3-319-08680-4 ISBN 978-3-319-0868
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