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Platform for Knowledge Society and Innovation Ecosystems

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Book cover Artificial Intelligence for Knowledge Management (AI4KM 2018)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 588))

Abstract

This paper reminds main components of Knowledge Society and of Innovation ecosystems and discusses the conditions for sustainable and successful innovation in the context of ubiquitous digitalization and third hype of artificial intelligence. It points out the necessity of having a collaborative platform for accelerating and succeed innovation. It considers the main system blocks and interactions between the components of the Innovation Ecosystems in aim understanding and maintaining the balance of knowledge-based Innovation ecosystems. The emphasis is also on early evaluation of the impacts. An architecture of artificial intelligence-based platform for collaborative gathering, sharing and exploring knowledge supporting the dynamics of the Innovation Ecosystems is presented and interaction between components discussed. We suggest applying the presented approach to European innovation ecosystem.

Environmental aspects of innovation are discussed in aim inspiring eco-design, eco-innovation, green software, circular energy and smart circular economy.

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Author information

Authors and Affiliations

  1. CReSTIC, University of Reims Champagne Ardenne, France Moulin de la Housse, BP 1039, 51687, Reims Cedex 2, France

    Eunika Mercier-Laurent

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  1. Eunika Mercier-Laurent
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Correspondence to Eunika Mercier-Laurent .

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  1. University of Reims Champagne-Ardenne, Saint Drezery, France

    Eunika Mercier-Laurent

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Mercier-Laurent, E. (2020). Platform for Knowledge Society and Innovation Ecosystems. In: Mercier-Laurent, E. (eds) Artificial Intelligence for Knowledge Management. AI4KM 2018. IFIP Advances in Information and Communication Technology, vol 588. Springer, Cham. https://doi.org/10.1007/978-3-030-52903-1_4

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  • DOI: https://doi.org/10.1007/978-3-030-52903-1_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-52902-4

  • Online ISBN: 978-3-030-52903-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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