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Twelve Big Questions for Research on Social Collective Intelligence

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Social Collective Intelligence

Part of the book series: Computational Social Sciences ((CSS))

Abstract

In this chapter we present and discuss twelve ‘big questions’ for research on social collective intelligence. Such research questions represent as many scientific challenges that the relevant research communities should tackle in order to move the understanding and engineering of social collective intelligence systems to the next level.

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Notes

  1. 1.

    https://www.linkedin.com/.

  2. 2.

    https://www.facebook.com/.

  3. 3.

    https://www.elance.com.

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Author information

Authors and Affiliations

  1. School of Informatics, University of Edinburgh, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, UK

    Stuart Anderson & Dave Robertson

  2. CREATE-NET, v. alla Cascata 56/D, 38123, Trento, Italy

    Daniele Miorandi & Iacopo Carreras

Authors
  1. Stuart Anderson
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  2. Daniele Miorandi
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  3. Iacopo Carreras
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  4. Dave Robertson
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Corresponding author

Correspondence to Stuart Anderson .

Editor information

Editors and Affiliations

  1. CREATE-NET, Trento, Italy

    Daniele Miorandi

  2. University of Trento, Trento, Italy

    Vincenzo Maltese

  3. School of Informatics Informatics, The University of Edinburgh, Edinburgh, United Kingdom

    Michael Rovatsos

  4. Faculty EEMCS, University of Twente, Enschede, The Netherlands

    Anton Nijholt

  5. The University of Edinburgh, Edinburgh, United Kingdom

    James Stewart

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© 2014 Springer International Publishing Switzerland

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Anderson, S., Miorandi, D., Carreras, I., Robertson, D. (2014). Twelve Big Questions for Research on Social Collective Intelligence. In: Miorandi, D., Maltese, V., Rovatsos, M., Nijholt, A., Stewart, J. (eds) Social Collective Intelligence. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-08681-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-08681-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08680-4

  • Online ISBN: 978-3-319-08681-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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