Editors:
- Authored and edited by leading researchers in the field
- Comprehensive and non-technical introduction and review
- Contains an appendix detailed the relevant hard- and software tools
- Includes supplementary material: sn.pub/extras
Part of the book series: Understanding Complex Systems (UCS)
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Table of contents (20 chapters)
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Front Matter
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New Sensing Technologies for Societies and Environment
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Front Matter
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Citizen Science, Participatory Sensing and Social Computation
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Front Matter
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Collective Awareness, Learning and Decision Making
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Front Matter
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About this book
This book introduces and reviews recent advances in the field in a comprehensive and non-technical way by focusing on the potential of emerging citizen-science and social-computation frameworks, coupled with the latest theoretical and modeling tools developed by physicists, mathematicians, computer and social scientists to analyse, interpret and visualize complex data sets.
There is overwhelming evidence that the current organisation of our economies and societies is seriously damaging biological ecosystems and human living conditions in the short term, with potentially catastrophic effects in the long term. The need to re-organise the daily activities with the greatest impact – energy consumption, transport, housing – towards a more efficient and sustainable development model has recently been raised in the public debate on several global, environmental issues. Above all, this requires the mismatch between global, societal and individual needs to be addressed. Recent advancesin Information and Communication Technologies (ICT) can trigger important transitions at the individual and collective level to achieve this aim.
Based on the findings of the collaborative research network EveryAware the following developments among the emerging ICT technologies are discussed in depth in this volume:
• Participatory sensing – where ICT development is pushed to the level where it can support informed action at the hyperlocal scale, providing capabilities for environmental monitoring, data aggregation and mining, as well as information presentation and sharing.
• Web gaming, social computing and internet-mediated collaboration – where the Web will continue to acquire the status of an infrastructure for social computing, allowing users’ cognitive abilities to be coordinated in online communities, and steering the collective action towards predefined goals.
• Collective awareness and decision-making – where the access to both personal and community data, collected by users, processed with suitable analysis tools, and re-presented in an appropriate format by usable communication interfaces leads to a bottom-up development of collective social strategies.
Editors and Affiliations
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Department of Physics, Sapienza University of Rome, Rome, Italy
Vittorio Loreto, Vito D.P. Servedio
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Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom
Muki Haklay
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Julius-Maximilians-University Würzburg , Würzburg, Germany
Andreas Hotho
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Department of Electrical Engineering and Computer Science, University of Kassel, Kassel, Germany
Gerd Stumme
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VITO—Flemish Institute for Technological Research, Mol, Belgium
Jan Theunis
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Institute for Scientific Interchange Foundation, Torino, Italy
Francesca Tria
Bibliographic Information
Book Title: Participatory Sensing, Opinions and Collective Awareness
Editors: Vittorio Loreto, Muki Haklay, Andreas Hotho, Vito D.P. Servedio, Gerd Stumme, Jan Theunis, Francesca Tria
Series Title: Understanding Complex Systems
DOI: https://doi.org/10.1007/978-3-319-25658-0
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-25656-6Published: 19 August 2016
Softcover ISBN: 978-3-319-79823-3Published: 22 April 2018
eBook ISBN: 978-3-319-25658-0Published: 13 May 2016
Series ISSN: 1860-0832
Series E-ISSN: 1860-0840
Edition Number: 1
Number of Pages: XXVII, 405
Number of Illustrations: 13 b/w illustrations, 70 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Computer Appl. in Social and Behavioral Sciences, Organizational Studies, Economic Sociology, Monitoring/Environmental Analysis, Social Policy