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.
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Notes
NSF/SRS Workshop on Advancing Measures of Innovations: Knowledge Flows, Business Metrics, and Measurement Strategies, 2006.
http://scienceofsciencepolicy.net—as of 08 February 2016.
http://www.nae.edu—as of 08 February 2016.
http://faculty.ucr.edu/~hanneman/soc157/18_Homophily.html—as of 08 February 2016.
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This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This research is also partially supported by National Science Foundation (NSF) as authorized by the contract number NSF-SBE-0830261 and Industrial and Systems Engineering Department assistantships/fellowships at Auburn University.
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Özmen, Ö., Yilmaz, L. & Smith, J. The impact of socio-technical communication styles on the diversity and innovation potential of global science collaboratories. Comput Math Organ Theory 22, 521–548 (2016). https://doi.org/10.1007/s10588-016-9213-5
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DOI: https://doi.org/10.1007/s10588-016-9213-5