The European Physical Journal Special Topics

, Volume 214, Issue 1, pp 109–152 | Cite as

Towards a global participatory platform

Democratising open data, complexity science and collective intelligence
  • S. Buckingham Shum
  • K. Aberer
  • A. Schmidt
  • S. Bishop
  • P. Lukowicz
  • S. Anderson
  • Y. Charalabidis
  • J. Domingue
  • S. de Freitas
  • I. Dunwell
  • B. Edmonds
  • F. Grey
  • M. Haklay
  • M. Jelasity
  • A. Karpištšenko
  • J. Kohlhammer
  • J. Lewis
  • J. Pitt
  • R. Sumner
  • D. Helbing
Open Access
Regular 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 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

References

  1. 1.
    K. Aberer, S. Sathe, D. Chakraborty, A. Martinoli, G. Barrenetxea, B. Faltings, L. Thiele, OpenSense: Open Community Driven Sensing of Environment, Nov. 2 (2010)Google Scholar
  2. 2.
    C. Anderson. The Long Tail: Why the Future of Business Is Selling Less of More (Hyperion Books, 2006)Google Scholar
  3. 3.
    E.F. Anderson, L. McLoughlin, F. Liarokapis, C. Peters, P. Petridis, S. de Freitas, Serious Games in Cultural Heritage, 22–25 September (2009)Google Scholar
  4. 4.
    S. Arnab, P. Petridis, I. DunwellS. de Freitas, Enhancing learning in distributed virtual worlds through touch: a browser- based architecture for haptic interaction. (Springer Verlag, London, 2011)Google Scholar
  5. 5.
    S.R. Arnstein, J. Amer. Inst. Planners 35, 216 (1969)CrossRefGoogle Scholar
  6. 6.
    K. Atkinson, T. Bench-Capon, P. McBurney, Artificial Intelligence Law (Special Issue on eDemocracy) 14, 261 (2006)CrossRefGoogle Scholar
  7. 7.
    J. Bertin, Semiology of Graphics: Diagrams, Networks, Maps (University of Wisconsin Press, Madison, WI, 1983)Google Scholar
  8. 8.
    C. Bizer, T. Heath, T. Berners-Lee, Int. J. Semantic Web Inf. Syst. 5, 1 (2009)Google Scholar
  9. 9.
    G.C. Bowker, S.L. Star, Building Information Infrastructures for Social Worlds - The Role of Classifications and Standards. In Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998] (Springer-Verlag), p. 231Google Scholar
  10. 10.
    L. Browning, T. Boudès, Emerg. Complex. Organiz. 7, 35 (2005)Google Scholar
  11. 11.
    S. Buckingham Shum, The Roots of Computer-Supported Argument Visualization (Springer-Verlag, London, 2003), p. 3Google Scholar
  12. 12.
    S. Buckingham Shum, A.M. Selvin, M. Sierhuis, J. Conklin, C.B. Haley, B. Nuseibeh, Hypermedia support for argumentation-based rationale: 15 years on from gIBIS and QOC (Springer-Verlag, Berlin, 2006), p. 111Google Scholar
  13. 13.
    S. Buckingham Shum, Cohere: Towards Web 2.0 Argumentation In Proceedings of the 2nd International Conference on Computational Models of Argument (2008)Google Scholar
  14. 14.
    A.T. Campbell, S.B. Eisenman, N.D. Lane, E. Miluzzo, R.A. Peterson, H. Lu, X. Zheng, M. Musolesi, K. Fodor, Gahng-Seop Ah, The Rise of People-Centric Sensing, IEEE Internet Computing, July/August 12–21 (2008)Google Scholar
  15. 15.
    S.K. Card, J.D. Mackinlay, B. Shneiderman, Readings in Information Visualisation – Using Vision to Think (Morgan Kaufman Publishers, San Francisco, CA, 1999)Google Scholar
  16. 16.
    P. Culmsee, K. Awati, The Heretic’s Guide to Best Practices: The Reality of Managing Wicked Problems in Organisations (iUniverse Inc., Bloomington IN, 2011)Google Scholar
  17. 17.
    D. Fensel, H. Lausen, A. Polleres, J. Bruijn, M. Stollberg, D. Roman, J. Domingue, Enabling Semantic Web Services: The Web Service Modelling Ontology (Springer, Berlin, 2006)Google Scholar
  18. 18.
    A. De Liddo, S. Buckingham Shum, I. Quinto, M. Bachler, L. Cannavacciuolo, Discourse-Centric Learning Analytics, 27 Feb.–1 Mar. (2011)Google Scholar
  19. 19.
    A. De Liddo, Á. Sándor, S. Buckingham Shum, Comp. Supp. Cooperative Work 21, 417 (2012)CrossRefGoogle Scholar
  20. 20.
    A de Waard, S. Buckingham Shum, A. Carusi, J. Park, M. Samwald, Á. Sándor, Hypotheses, Evidence and Relationships: The HypER Approach for Representing Scientific Knowledge Claims, 26 Oct. (2009)Google Scholar
  21. 21.
    R. Deakin Crick, P. Broadfoot, G. Claxton, Assess. Education: Princ., Policy Pract. 11, 248 (2004)Google Scholar
  22. 22.
    C. Dellarocas, Reputation Mechanisms (Elsevier Publishing, 2006)Google Scholar
  23. 23.
    J. Domingue, L. Cabral, S. Galizia, V. Tanasescu, A. Gugliotta, B. Norton, C. Pedrinaci, J. Web Semantics 6, 109 (2008)CrossRefGoogle Scholar
  24. 24.
    G. Doppelt, Democracy and Technology (State University of New York Press, Albany, NY, 2006), p. 85Google Scholar
  25. 25.
    I. Dunwell, S. Christmas, S. de Freitas, Code of Everand: Evaluation of the Game (Department of Transport, UK, London, 2011)Google Scholar
  26. 26.
    I. DunwellS. de Freitas, Four-dimensional consideration of feedback in serious games (Continuum Publishing, 2011)Google Scholar
  27. 27.
    N. Eagle, A. Pentland, Pers. Ubiquitous Comp. 10, 255 (2006)CrossRefGoogle Scholar
  28. 28.
    E.L. Eisenstein, The printing press as an agent of change: communications and cultural transformations in early-modern Europe, vol. 1 (1979)Google Scholar
  29. 29.
    D.C. Engelbart, Augmenting human intellect: A conceptual framework, Technical Report SRI Project No. 3578, Summary Report AFOSR-3233, Stanford Research Institute (1962)Google Scholar
  30. 30.
    A. Ferscha, Implicit Interaction (2011)Google Scholar
  31. 31.
    J. Hagel, J. Seely Brown, L. Davison, The Power of Pull: How Small Moves, Smartly Made, Can Set Big Things in Motion (Basic Books, 2010)Google Scholar
  32. 32.
    D. Helbing, S. Balietti, S. Bishop, P. Lukowicz, Eur. Phys. J. Special Topics 195, 165 (2011)ADSCrossRefGoogle Scholar
  33. 33.
    C. Hess, E. Ostrom, Understanding Knowledge as a Commons (MIT Press, 2007)Google Scholar
  34. 34.
    J. Howe, The Rise of Crowdsourcing, Wired Magazine, June (2006)Google Scholar
  35. 35.
    L. Iandoli, M. Klein, G. Zollo, Int. J. Decision Support Syst. Technol. 1, 69 (2009)CrossRefGoogle Scholar
  36. 36.
    A. Irwin, Citizen Science (Routledge, London, 1995)Google Scholar
  37. 37.
    J. Johnson, S. Buckingham Shum, A. Willis, S. Bishop, T. Zamenopoulos, S. Swithenby, R. MacKay, Y. Merali, A. Lorincz, C. Costea, P. Bourgine, J. Louca, A. Kapenieks, P. Kelley, S. Caird, J. Bromley, R. Deakin Crick, C. Goldspink, P. Collet, A. Carbone, D. Helbing, Eur. Phys. J. Special Topics 214, 215 (2012)Google Scholar
  38. 38.
    D.A. Keim, J. Kohlhammer, G. Ellis, F. Mansmann, Mastering the Information Age - Solving Problems with Visual Analytics, Eurographics Association (2010)Google Scholar
  39. 39.
    G. Klein, B. Moon, R.F. Hoffman, IEEE Intell. Syst. 21, 88 (2006)CrossRefGoogle Scholar
  40. 40.
    A. Krause, E. Horvitz, A. Kansal, F. Zhao, Toward Community Sensing, April 22–24 (2008)Google Scholar
  41. 41.
    J. Kwiat, From Aristotle to Gabriel: A Summary of the Narratology Literature for Story Technologies. Technical report, Technical Report KMI-08-01, Knowledge Media Institute, The Open University, UK (2008)Google Scholar
  42. 42.
    M. Maragoudakis, E. Loukis, Y. Charalabidis, A Review of Opinion Mining Methods for Analyzing Citizens’ Contributions in Public Policy Debate, August 29 – September 1 (2011)Google Scholar
  43. 43.
    E. Morozov, The Net Delusion. Allen Lane (2011)Google Scholar
  44. 44.
    P. Mulholland, T. Collins, Z. Zdrahal, Story fountain: intelligent support for story research and exploration (2004)Google Scholar
  45. 45.
    J. Mundinger, J.-Y. Le Boudec, Performance Evaluation 65, 212 (2008)CrossRefGoogle Scholar
  46. 46.
    J.D. Novak, Learning, creating, and using knowledge: concept maps as facilitative tools in schools and corporations. Lawrence Erlbaum Associates, Mahwah, NJ (1998)Google Scholar
  47. 47.
    W.J. Ong, Orality and Literacy: The Technologizing of the Word (Methuen, London, 1982)Google Scholar
  48. 48.
    N. Oreskes, E. Conway, Merchants of Doubt (Bloomsbury, 2010)Google Scholar
  49. 49.
    E. Ostrom, Governing the Commons (CUP, 1990)Google Scholar
  50. 50.
    D. Panzoli, C. Peters, I. Dunwell, S. Sanchez, P. Petridis, A. Protopsaltis, V. Scesa, S. de Freitas, Levels of Interaction: A User-Guided Experience in Large-Scale Virtual Environments (2010)Google Scholar
  51. 51.
    C. PedrinaciJ. Domingue, Toward the Next Wave of Services: Linked Services for the Web of Data, Journal of Universal Computer Science (2010)Google Scholar
  52. 52.
    P. Petridis, I. Dunwell, S. Arnab, S. de Freitas, Building Social Communities around Alternate Reality Games, 4–6 May (2011)Google Scholar
  53. 53.
    P. Pirolli, D.M. Russell, Human-Computer Inter. 26, 1 (2011)CrossRefGoogle Scholar
  54. 54.
    R. Price, A Palpable God: Thirty Stories Translated from the Bible With an Essay on the Origins and Life of Narrative (Atheneum, 1978)Google Scholar
  55. 55.
    I. Rahwan, F. Zablith, C. Reed, Artificial Intell. 171, 897 (2007)CrossRefGoogle Scholar
  56. 56.
    J. Rawls, A Theory of Justice (Cambridge Mass., Harvard University Press, 1971)Google Scholar
  57. 57.
    G. Rebolledo-Mendez, D. Burden, S. de Freitas, A Model of Motivation for Virtual-Worlds Avatars (Springer-Verlag, Berlin, Heidelberg, 2008), p. 535Google Scholar
  58. 58.
    C. Reynolds, R. Picard, Affective Sensors, Privacy, and Ethical Contracts, In Proceedings of CHI (2004), p. 1103Google Scholar
  59. 59.
    Y. Roberts, Grit: The skills for success and how they are grown. Technical report (The Young Foundation, 2009)Google Scholar
  60. 60.
    M.D. Russell, J.M. Stefik, P. Pirolli, S.K. Card, The Cost Structure of Sensemaking (1993)Google Scholar
  61. 61.
    L. Rutledge, M. Alberink, R. Brussee, S. Pokraev, W. van Dieten, M. Veenstra, Finding the story: broader applicability of semantics and discourse for hypermedia generation (2003)Google Scholar
  62. 62.
    S. Koussouris, Y. Charalabidis, D. Askounis, Trans. Gov. People, Proc. Policy 5, 8 (2011)Google Scholar
  63. 63.
    Á. Sándor, A. Vorndran, Extracting relevant messages from social science research papers for improving retevance of retrieval, 10–14 May (2010)Google Scholar
  64. 64.
    C. Sanford, J. Rose, Int. J. Inf. Manag. 27, 406 (2007)CrossRefGoogle Scholar
  65. 65.
    O Scheuer, N Loll, F Pinkwart, B.M. McLaren, Int. J. Comp.-Supp. Collab. Argumentation 5, 43 (2010)Google Scholar
  66. 66.
    S. Schütz, Lessons in ‘Designing for Tussle’ from Case Studies, Technical report, Trilogy EU FP7 Project, Deliverable D2 (2008)Google Scholar
  67. 67.
    C. Shirky, Here Comes Everybody: How Change Happens When People Come Together (Allen Lane, 2008)Google Scholar
  68. 68.
    R. Shokri, T. Georgios, J.-Y. Le Boudec, J.-P. Hubaux, Quantifying Location Privacy, May 22–25 (2011)Google Scholar
  69. 69.
    R. Sieber, Ann. Amer. Asso. Geograph. 96, 491 (2006)CrossRefGoogle Scholar
  70. 70.
    M. Sierhuis, S. Buckingham Shum, Human-agent knowledge cartography for e-science: NASA field trials at the Mars Desert Research Station, Springer (Advanced Information and Knowledge Processing Series), London (2008), p. 287Google Scholar
  71. 71.
    D. Snowden, Naturalizing Sensemaking (Psychology Press, 2010)Google Scholar
  72. 72.
    L.S. Star, Sci. Technol. Hum. Val. 35, 601 (2010)CrossRefGoogle Scholar
  73. 73.
    S.L. Star, G.C. Bowker, How to infrastructure (2006)Google Scholar
  74. 74.
    S.L. Star, K. Ruhleder, Inf. Syst. Res. 7, 111 (1996)CrossRefGoogle Scholar
  75. 75.
    S.L. Star, J.R. Griesemer, Social Stud. Sci. 19, 387 (1989)CrossRefGoogle Scholar
  76. 76.
    G. Tselentis, J. Domingue, A. Galis, A. Gavras, D. Hausheer, S. Krco, V. Lotz, T. Zahariadis, Towards the Future Internet - A European Research Perspective (IOS Press, 2009)Google Scholar
  77. 77.
    J. Van den Hoven, D. Helbing, D. Pedreschi, J. Domingo-Ferrer, F. Gianotti, M. Christen, Eur. Phys. J. Special Topics 214, 153 (2012)Google Scholar
  78. 78.
    H. Le Vu, K. Aberer, Effective Usage of Computational Trust Models in Rational Environments. ACM Transactions on Autonomous and Adaptive Systems (2011)Google Scholar
  79. 79.
    H. Le Vu, T.G. Papaioannou, K. Aberer, Synergies of different reputation systems: challenges and opportunities, August 25–27 (2009)Google Scholar
  80. 80.
    B. Walker, C.S. Holling, S.R. Carpenter, A. Kinzig, Resilience, adaptability and transformability in social-ecological systems. Ecology and Society, 9(2:5) http://www.ecologyandsociety.org/vol9/iss2/art5 (2004)URLGoogle Scholar
  81. 81.
    D. Walton, C. Reed, F. Macagno, Argumentation Schemes (Cambridge University Press, Cambridge, 2008)Google Scholar
  82. 82.
    C. Ware, Information Visualisation - Perception for Design (Academic Press, San Diego, CA, 2004)Google Scholar
  83. 83.
    K. Weick, Sensemaking in Organizations (Sage, Thousand Oaks, CA, 1995)Google Scholar
  84. 84.
    Y. Charalabidis, R. Kleinfeld, E. Loukis, S. Steglich, Systematically Exploiting Web 2.0 Social Media in Government for Extending Communication with Citizens (IGI Global, 2011)Google Scholar

Copyright information

© The Author(s) 2012

Authors and Affiliations

  • S. Buckingham Shum
    • 1
  • K. Aberer
    • 2
  • A. Schmidt
    • 3
  • S. Bishop
    • 4
  • P. Lukowicz
    • 5
  • S. Anderson
    • 6
  • Y. Charalabidis
    • 7
  • J. Domingue
    • 1
  • S. de Freitas
    • 8
  • I. Dunwell
    • 8
  • B. Edmonds
    • 9
  • F. Grey
    • 10
  • M. Haklay
    • 11
  • M. Jelasity
    • 12
  • A. Karpištšenko
    • 13
  • J. Kohlhammer
    • 14
  • J. Lewis
    • 15
  • J. Pitt
    • 16
  • R. Sumner
    • 17
  • D. Helbing
    • 18
  1. 1.Knowledge Media InstituteThe Open UniversityMilton KeynessUK
  2. 2.Distributed Information Systems LaboratoryÉcole Polytechnique Fédérale de Lausanne, EPFL-IC-IIF-LSIR, Bâtiment BCLausanneSwitzerland
  3. 3.Institut für Visualisierung und Interaktive SystemeUniversität Stuttgart, Universitätstraße 38StuttgartGermany
  4. 4.Dept. MathematicsUniversity College LondonLondonUK
  5. 5.Embedded Systems LabUniversity of Passau, IT-Zentrum/International HousePassauGermany
  6. 6.School of InformaticsUniversity of EdinburghEdinburghUK
  7. 7.Information Systems LaboratoryUniversity of the AegeanKarlovasi, SamosGreece
  8. 8.Serious Games Institute, Coventry Innovation VillageCoventry University Technology ParkCoventryUK
  9. 9.Centre for Policy ModellingManchester Metropolitan UniversityManchesterUK
  10. 10.Citizen Cyberscience CentreCERN, UNOSATGenevaSwitzerland
  11. 11.Dept. Civil, Environmental and Geomatic Engineering University College LondonLondonUK
  12. 12.Research Group on Artificial IntelligenceHungarian Academy of Science and University of SzegedSzegedHungary
  13. 13.Skype Labs, SkypeTallinnEstonia
  14. 14.Fraunhofer-Institut für Graphische Datenverarbeitung IGDDarmstadtGermany
  15. 15.Dept. AnthropologyUniversity College LondonLondonUK
  16. 16.Dept. Electrical & Electronic EngineeringImperial College LondonLondonUK
  17. 17.Disney Research ZurichZurichSwitzerland
  18. 18.ZurichETH ZurichSwitzerland

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