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A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study

In: Advances in Service Science

Author

Listed:
  • David Turner

    (University of Alberta)

  • Diego Serrano

    (University of Alberta)

  • Eleni Stroulia

    (University of Alberta)

  • Kelly Lyons

    (University of Toronto)

Abstract

Service-science research has long been studying T-shapedness, arguing that service scientists should be T-shaped individuals, deeply knowledgeable in one field and able to collaborate and communicate across disciplines. The value of multidisciplinarity has also been recognized in academic environments, as funding agencies are committing substantial support to large-scale research initiatives that span across disciplines, organizations, academia and industry, even across national borders, and aim to address the major challenges of our time, from climate change, to energy shortage, to pandemics. New incentives and performance indicators are needed to encourage and reward multidisciplinary collaborative work. In this paper, we introduce a metric for multidisciplinarity, based on the notion of T-shapedness and we report on the application of this measure on data collected over four years from the GRAND Network of Centres of Excellence, a large-scale, Canadian, multidisciplinary research network conducting research on digital media with numerous academic and industrial partners. We describe our findings on how the community evolved over time in terms of its T-shaped multidisciplinarity and compare the multidisciplinarity of GRAND researchers to their non-GRAND peers.

Suggested Citation

  • David Turner & Diego Serrano & Eleni Stroulia & Kelly Lyons, 2019. "A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case Study," Springer Proceedings in Business and Economics, in: Hui Yang & Robin Qiu (ed.), Advances in Service Science, pages 31-41, Springer.
  • Handle: RePEc:spr:prbchp:978-3-030-04726-9_4
    DOI: 10.1007/978-3-030-04726-9_4
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