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The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories

Author

Listed:
  • Özgür Özmen

    (Oak Ridge National Laboratory)

  • Levent Yilmaz

    (Auburn University)

  • Jeffrey Smith

    (Auburn University)

Abstract

Emerging cyber-infrastructure tools are enabling scientists to transparently co-develop, share, and communicate about real-time diverse forms of knowledge artifacts. In these environments, communication preferences of scientists are posited as an important factor affecting innovation capacity and robustness of social and knowledge network structures. Scientific knowledge creation in such communities is called global participatory science (GPS). Recently, using agent-based modeling and collective action theory as a basis, a complex adaptive social communication network model (CollectiveInnoSim) is implemented. This work leverages CollectiveInnoSim implementing communication preferences of scientists. Social network metrics and knowledge production patterns are used as proxy metrics to infer innovation potential of emergent knowledge and collaboration networks. The objective is to present the underlying communication dynamics of GPS in a form of computational model and delineate the impacts of various communication preferences of scientists on innovation potential of the collaboration network. Gained insight can ultimately help policy-makers to design GPS environments and promote innovation.

Suggested Citation

  • Özgür Özmen & Levent Yilmaz & Jeffrey Smith, 2016. "The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories," Computational and Mathematical Organization Theory, Springer, vol. 22(4), pages 521-548, December.
    • Handle: RePEc:spr:comaot:v:22:y:2016:i:4:d:10.1007_s10588-016-9213-5
    DOI: 10.1007/s10588-016-9213-5
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    References listed on IDEAS

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    1. Becker, Gary S., 1978. "The Economic Approach to Human Behavior," University of Chicago Press Economics Books, University of Chicago Press, number 9780226041124, January.
    2. Andy Stirling, 2007. "A General Framework for Analysing Diversity in Science, Technology and Society," SPRU Working Paper Series 156, SPRU - Science Policy Research Unit, University of Sussex Business School.
    3. Ismael Rafols & Martin Meyer, 2010. "Diversity and network coherence as indicators of interdisciplinarity: case studies in bionanoscience," Scientometrics, Springer;Akadémiai Kiadó, vol. 82(2), pages 263-287, February.
    4. Guangyu Zou & Levent Yilmaz, 2011. "Dynamics of knowledge creation in global participatory science communities: open innovation communities from a network perspective," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 35-58, March.
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