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

David Turner, Diego Serrano, Eleni Stroulia () and Kelly Lyons
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David Turner: University of Alberta
Diego Serrano: University of Alberta
Eleni Stroulia: University of Alberta
Kelly Lyons: University of Toronto

A chapter in Advances in Service Science, 2019, pp 31-41 from Springer

Abstract: 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.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-04726-9_4

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DOI: 10.1007/978-3-030-04726-9_4

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