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Increasing research creativity through open innovation platforms.

Authors: Koehler, Thomas; Skulimovski, Andrzej;

Increasing research creativity through open innovation platforms.

Abstract

Creativity stimulation and creativity support systems (CSS) have been rapidly gaining importance in learning and research activities. However, the overall outcome is still lagging behind the other areas of creativity studies, even though the strong influence of recent developments in the context of digitization and Web 2.0 have been discussed in scholarly publications. In this paper, the authors intend to link a creative research scenario recommendation and its impacts on research and innovation processes with the previous results regarding creativity stimulation in online learning systems and e-science platforms. The corresponding open innovation platform is currently being developed as part of a trans-European Horizon 2020 flagship project. Even though scientists’ awareness of the respective potential of digitization and Web 2.0 technologies is still insufficient, the first underlying assumption for this research is that future recommendation engines designed for open learning and innovation platforms will be capable of measuring users’ creative engagementin the decision making process. The corresponding open innovation platform is recently developed as part of a trans-European Horizon 2020 flagship Project. The authors are grateful for the support of the Research project “Training towards a society of data-savvy Information professionals to enable open leadership Innovation” (MOVING) financed by the EC, contract No. 693092.

Proceedings published biy the KICSS 2017 are of non-public character and only available to the conference participants.

Keywords

digitization, online creativity, e-science scenarios, global expert systems, open innovation platforms, recommenders

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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