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

    Access Status
    Open access via publisher
    Authors
    Buckingham Shum, S.
    Aberer, K.
    Schmidt, A.
    Bishop, S.
    Lukowicz, P.
    Anderson, S.
    Charalabidis, Y.
    Domingue, J.
    de Freitas, Sara
    Dunwell, I.
    Edmonds, B.
    Grey, F.
    Haklay, M.
    Jelasity, M.
    Karpistsenko, A.
    Kohlhammer, J.
    Lewis, J.
    Pitt, J.
    Sumner, R.
    Helbing, D.
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Buckingham Shum, S. and Aberer, K. and Schmidt, A. and Bishop, S. and Lukowicz, P. and Anderson, S. and Charalabidis, Y. et al. 2012. Towards a global participatory platform: Democratising open data, complexity science and collective intelligence. The European Physical Journal: Special Topics. 214 (1): pp. 109-152.
    Source Title
    The European Physical Journal: Special Topics
    DOI
    10.1140/epjst/e2012-01690-3
    ISSN
    1951-6355
    URI
    http://hdl.handle.net/20.500.11937/9237
    Collection
    • Curtin Research Publications
    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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