Project Overview (live on website)
Expertise and knowledge co-construction in research activities.
Products
| Title | Category | Date | Authors |
| A T-shaped Measure of Multidisciplinarity in Academic Research Networks: The GRAND Case StudyService-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. University of Alberta, University of Toronto | Publication | 2018-12-01 | David Turner, Diego Serrano Suarez, Eleni Stroulia, Kelly Lyons |
| Analyzing and Visualizing the Canadian Research LandscapeResearch evaluation is an important activity in the overall context of scholarly work, for researchers' career advancement, publication and proposal adjudication, universities' strategic investments, and funding agencies' planning. In this paper, we describe a system that uses state-of-the-art text-analysis methods to analyze and visualize the grant dataset, recently made available by NSERC to gain insights around the science-and-technology research in Canada, which we believe can inform the above processes.
University of Alberta | Publication | 2019-01-01 | Victor Silva, Ashley Herman, Maryam Mirzaei, Elisa Du, Bowen Hu, Lianne M Lefsrud, Joerg Sander, Eleni Stroulia, Monica Sawchyn |
