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Towards a global participatory platform

Democratising open data, complexity science and collective intelligence

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  • Published: 05 December 2012
  • Volume 214, pages 109–152 (2012)
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Towards a global participatory platform
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  • S. Buckingham Shum1,
  • K. Aberer2,
  • A. Schmidt3,
  • S. Bishop4,
  • P. Lukowicz5,
  • S. Anderson6,
  • Y. Charalabidis7,
  • J. Domingue1,
  • S. de Freitas8,
  • I. Dunwell8,
  • B. Edmonds9,
  • F. Grey10,
  • M. Haklay11,
  • M. Jelasity12,
  • A. Karpištšenko13,
  • J. Kohlhammer14,
  • J. Lewis15,
  • J. Pitt16,
  • R. Sumner17 &
  • …
  • D. Helbing18 
  • 6198 Accesses

  • 70 Citations

  • 4 Altmetric

  • Explore all metrics

Abstract

The FuturICT project seeks to use the power of big data, analytic models grounded in complexity science, and the collective intelligence they yield for societal benefit. Accordingly, this paper argues that these new tools should not remain the preserve of restricted government, scientific or corporate élites, but be opened up for societal engagement and critique. To democratise such assets as a public good, requires a sustainable ecosystem enabling different kinds of stakeholder in society, including but not limited to, citizens and advocacy groups, school and university students, policy analysts, scientists, software developers, journalists and politicians. Our working name for envisioning a sociotechnical infrastructure capable of engaging such a wide constituency is the Global Participatory Platform (GPP). We consider what it means to develop a GPP at the different levels of data, models and deliberation, motivating a framework for different stakeholders to find their ecological niches at different levels within the system, serving the functions of (i) sensing the environment in order to pool data, (ii) mining the resulting data for patterns in order to model the past/present/future, and (iii) sharing and contesting possible interpretations of what those models might mean, and in a policy context, possible decisions. A research objective is also to apply the concepts and tools of complexity science and social science to the project’s own work. We therefore conceive the global participatory platform as a resilient, epistemic ecosystem, whose design will make it capable of self-organization and adaptation to a dynamic environment, and whose structure and contributions are themselves networks of stakeholders, challenges, issues, ideas and arguments whose structure and dynamics can be modelled and analysed.

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Authors and Affiliations

  1. Knowledge Media Institute, The Open University, Milton Keyness, MK7 6AA, UK

    S. Buckingham Shum & J. Domingue

  2. Distributed Information Systems Laboratory, École Polytechnique Fédérale de Lausanne, EPFL-IC-IIF-LSIR, Bâtiment BC, Station 14, 1015, Lausanne, Switzerland

    K. Aberer

  3. Institut für Visualisierung und Interaktive Systeme, Universität Stuttgart, Universitätstraße 38, 70569, Stuttgart, Germany

    A. Schmidt

  4. Dept. Mathematics, University College London, Gower Street, WC1E 6BT, London, UK

    S. Bishop

  5. Embedded Systems Lab, University of Passau, IT-Zentrum/International House, Innstrasse 43, 94032, Passau, Germany

    P. Lukowicz

  6. School of Informatics, University of Edinburgh, Crichton Street, Edinburgh, EH8 9AB, UK

    S. Anderson

  7. Information Systems Laboratory, University of the Aegean, Karlovasi, Samos, 83200, Greece

    Y. Charalabidis

  8. Serious Games Institute, Coventry Innovation Village, Coventry University Technology Park, Cheetah Road, Coventry, CV1 2TL, UK

    S. de Freitas & I. Dunwell

  9. Centre for Policy Modelling, Manchester Metropolitan University, Aytoun Building, Aytoun Street, Manchester, M1 3GH, UK

    B. Edmonds

  10. Citizen Cyberscience Centre, CERN, UNOSAT, 211, Geneva, Switzerland

    F. Grey

  11. Dept. Civil, Environmental and Geomatic Engineering, University College London, Gower Street, WC1E 6BT, London, UK

    M. Haklay

  12. Research Group on Artificial Intelligence, Hungarian Academy of Science and University of Szeged, PO Box 652, 6701, Szeged, Hungary

    M. Jelasity

  13. Skype Labs, Skype, Akadeemia tee 15b, Tallinn, 12618, Estonia

    A. Karpištšenko

  14. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstr. 5, 64283, Darmstadt, Germany

    J. Kohlhammer

  15. Dept. Anthropology, University College London, 14 Taviton St, London, WC1H, UK

    J. Lewis

  16. Dept. Electrical & Electronic Engineering, Imperial College London, SW7 2BT, London, UK

    J. Pitt

  17. Disney Research Zurich, Clausiusstrasse 49, 8092, Zurich, Switzerland

    R. Sumner

  18. ETH Zurich, Clausiusstraße 50, 8092, Zurich, Switzerland

    D. Helbing

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Buckingham Shum, S., Aberer, K., Schmidt, A. et al. Towards a global participatory platform. Eur. Phys. J. Spec. Top. 214, 109–152 (2012). https://doi.org/10.1140/epjst/e2012-01690-3

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  • Revised: 09 October 2012

  • Published: 05 December 2012

  • Issue date: November 2012

  • DOI: https://doi.org/10.1140/epjst/e2012-01690-3

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Keywords

  • European Physical Journal Special Topic
  • Boundary Object
  • Smart City
  • Collective Intelligence
  • Information Visualisation

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