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Towards a global participatory platform : Democratising open data, complexity science and collective intelligence

Buckingham Shum, S. ; Aberer, K. ; Schmidt, A. ; Bishop, S. ; Lukowicz, P. ; Anderson, S. ; Charalabidis, Y. ; Domingue, J. ; de Freitas, S. ; Dunwell, I. ; Edmonds, B. ; Grey, F. ; Haklay, M. ; Jelasity, M. ; Karpištšenko, A. ; Kohlhammer, J. ; Lewis, J. ; Pitt, J. ; Sumner, R. ; Helbing, D.

In: The European Physical Journal Special Topics, 2012, vol. 214, no. 1, p. 109-152

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    Titre
    • Towards a global participatory platform
      Democratising open data, complexity science and collective intelligence
    Auteur
    • Buckingham Shum, S.. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keyness, UK
    • Aberer, K.. Distributed Information Systems Laboratory, École Polytechnique Fédérale de Lausanne, EPFL-IC-IIF-LSIR, Bâtiment BC, Station 14, 1015, Lausanne, Switzerland
    • Schmidt, A.. Institut für Visualisierung und Interaktive Systeme, Universität Stuttgart, Universitätstraße 38, 70569, Stuttgart, Germany
    • Bishop, S.. Dept. Mathematics, University College London, Gower Street, WC1E 6BT, London, UK
    • Lukowicz, P.. Embedded Systems Lab, University of Passau, IT-Zentrum/International House, Innstrasse 43, 94032, Passau, Germany
    • Anderson, S.. School of Informatics, University of Edinburgh, Crichton Street, EH8 9AB, Edinburgh, UK
    • Charalabidis, Y.. Information Systems Laboratory, University of the Aegean, 83200, Karlovasi, Samos, Greece
    • Domingue, J.. Knowledge Media Institute, The Open University, MK7 6AA, Milton Keyness, UK
    • de Freitas, S.. Serious Games Institute, Coventry Innovation Village, Coventry University Technology Park, Cheetah Road, CV1 2TL, Coventry, UK
    • Dunwell, I.. Serious Games Institute, Coventry Innovation Village, Coventry University Technology Park, Cheetah Road, CV1 2TL, Coventry, UK
    • Edmonds, B.. Centre for Policy Modelling, Manchester Metropolitan University, Aytoun Building, Aytoun Street, M1 3GH, Manchester, UK
    • Grey, F.. Citizen Cyberscience Centre, CERN, UNOSAT, 211, Geneva, Switzerland
    • Haklay, M.. Dept. Civil, Environmental and Geomatic Engineering, University College London, Gower Street, WC1E 6BT, London, UK
    • Jelasity, M.. Research Group on Artificial Intelligence, Hungarian Academy of Science and University of Szeged, PO Box 652, 6701, Szeged, Hungary
    • Karpištšenko, A.. Skype Labs, Skype, Akadeemia tee 15b, 12618, Tallinn, Estonia
    • Kohlhammer, J.. Fraunhofer-Institut für Graphische Datenverarbeitung IGD, Fraunhoferstr. 5, 64283, Darmstadt, Germany
    • Lewis, J.. Dept. Anthropology, University College London, 14 Taviton St, WC1H, London, UK
    • Pitt, J.. Dept. Electrical & Electronic Engineering, Imperial College London, SW7 2BT, London, UK
    • Sumner, R.. Disney Research Zurich, Clausiusstrasse 49, 8092, Zurich, Switzerland
    • Helbing, D.. Clausiusstraße 50, 8092, Zurich, ETH Zurich
    Type de document
    • Postprint
    Langue
    • Inglese
    Publié dans
    • The European Physical Journal Special Topics, 2012, vol. 214, no. 1, p. 109-152. Springer-Verlag
    Autre version électronique
    Classification
    • Physique
    Identifiant OAI-PMH
    • oai:doc.rero.ch:320991
    Summary
    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. Graphical abstract