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

Shum, SB; Aberer, K; Schmidt, A; Bishop, S; Lukowicz, P; Anderson, S; Charalabidis, Y; ... Helbing, D; + view all (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. 10.1140/epjst/e2012-01690-3. Green open access

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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.

Type: Article
Title: Towards a global participatory platform Democratising open data, complexity science and collective intelligence
Open access status: An open access version is available from UCL Discovery
DOI: 10.1140/epjst/e2012-01690-3
Publisher version: http://dx.doi.org/10.1140/epjst/e2012-01690-3
Language: English
Additional information: © The Author(s) 2012. This article is published with open access at Springerlink.com
Keywords: Science & Technology, Physical Sciences, Physics, Multidisciplinary, Physics, SYSTEMS, SENSEMAKING, ECOLOGY, MODEL, WEB, European Physical Journal Special Topic, Boundary Object, Smart City, Collective Intelligence, Information Visualisation
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Mathematics
UCL > Provost and Vice Provost Offices > UCL SLASH
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Anthropology
UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Geography
URI: https://discovery.ucl.ac.uk/id/eprint/1384806
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