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The Global Brain as a model of the future information society: An introduction to the special issue

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  • Heylighen, Francis
  • Lenartowicz, Marta

Abstract

The Global Brain can be defined as the distributed intelligence emerging from all human and technological agents as interacting via the Internet. It plays the role of a nervous system for the social superorganism. A brief history of this idea is sketched, with a focus on the developments leading to the creation of the Global Brain Group, and the Global Brain Institute (GBI) that emerged out of it. As directors of the GBI, the authors of this paper took the initiative of editing a special issue on the topic of “the Global Brain as a model of the future information society”. We briefly sketch the contributions from the different papers in this issue. We conclude by reviewing some common dystopian misconceptions associated with the Global Brain paradigm, and by offering an optimistic outlook on how the “offer network” protocol inspired by this paradigm may lay the foundation for a much more synergetic and sustainable society.

Suggested Citation

  • Heylighen, Francis & Lenartowicz, Marta, 2017. "The Global Brain as a model of the future information society: An introduction to the special issue," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 1-6.
  • Handle: RePEc:eee:tefoso:v:114:y:2017:i:c:p:1-6
    DOI: 10.1016/j.techfore.2016.10.063
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    References listed on IDEAS

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    1. Francis Heylighen, 1999. "Collective Intelligence and its Implementation on the Web: Algorithms to Develop a Collective Mental Map," Computational and Mathematical Organization Theory, Springer, vol. 5(3), pages 253-280, October.
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    1. Gabriela Viale Pereira & Elsa Estevez & Diego Cardona & Carlos Chesñevar & Pablo Collazzo-Yelpo & Maria Alexandra Cunha & Eduardo Henrique Diniz & Alex Antonio Ferraresi & Frida Marina Fischer & Flúvi, 2020. "South American Expert Roundtable: Increasing Adaptive Governance Capacity for Coping with Unintended Side Effects of Digital Transformation," Sustainability, MDPI, vol. 12(2), pages 1-47, January.
    2. Palmås, Karl, 2019. "From hacking to simulation: Periodizing digitally-inspired social theory," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 105-112.
    3. Roth, Steffen & Dahms, Harry F. & Welz, Frank & Cattacin, Sandro, 2019. "Print theories of computer societies. Introduction to the digital transformation of social theory," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    4. Parinov, Sergey, 2020. "Общая Теория Согласования Социально-Экономической Деятельности: Коллективные Ментальные Модели [General theory of socio-economic coordination activity: shared mental models]," MPRA Paper 112147, University Library of Munich, Germany.
    5. Roth, Steffen & Schwede, Peter & Valentinov, Vladislav & Pérez-Valls, Miguel & Kaivo-oja, Jari, 2020. "Harnessing big data for a multifunctional theory of the firm," European Management Journal, Elsevier, vol. 38(1), pages 54-61.
    6. Guy, Jean-Sébastien, 2019. "Digital technology, digital culture and the metric/nonmetric distinction," Technological Forecasting and Social Change, Elsevier, vol. 145(C), pages 55-61.
    7. Tatiana Marceda Bach & Wesley Vieira Silva & Adriano Mendonça Souza & Claudineia Kudlawicz-Franco & Claudimar Pereira Veiga, 2020. "Online customer behavior: perceptions regarding the types of risks incurred through online purchases," Palgrave Communications, Palgrave Macmillan, vol. 6(1), pages 1-12, December.

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