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Towards a Global Participatory Platform : Democratising Open Data, Complexity Science and Collective Intelligence

Shum, S. Buckingham and Aberer, K. and Schmidt, A. and Bishop, S. and Lukowicz, P. and Anderson, S. and Charalabidis, Yannis and Domingue, J. and Freitas, S. de and Dunwell, I. and Edmonds, B. and Grey, F. and Haklay, M. and Jelasity, M. and Karpistsenko, A. and Kohlhammer, Jörn and Lewis, J. and Pitt, J. and Sumner, R. and Helbing, D. (2012):
Towards a Global Participatory Platform : Democratising Open Data, Complexity Science and Collective Intelligence.
In: The European Physical Journal Special Topics, pp. 109-152, 214, DOI: 10.1140/epjst/e2012-01690-3, [Article]

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 selforganization 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.

Item Type: Article
Erschienen: 2012
Creators: Shum, S. Buckingham and Aberer, K. and Schmidt, A. and Bishop, S. and Lukowicz, P. and Anderson, S. and Charalabidis, Yannis and Domingue, J. and Freitas, S. de and Dunwell, I. and Edmonds, B. and Grey, F. and Haklay, M. and Jelasity, M. and Karpistsenko, A. and Kohlhammer, Jörn and Lewis, J. and Pitt, J. and Sumner, R. and Helbing, D.
Title: Towards a Global Participatory Platform : Democratising Open Data, Complexity Science and Collective Intelligence
Language: English
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 selforganization 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.

Journal or Publication Title: The European Physical Journal Special Topics
Volume: 214
Uncontrolled Keywords: Business Field: Visual decision support, Research Area: Generalized digital documents, Visual analytics, Visualization, Information systems, Information infrastructures, Data management, Data mining
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
Date Deposited: 12 Nov 2018 11:16
DOI: 10.1140/epjst/e2012-01690-3
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