Mapping Knowledge Domains to Better Forecast the Future: Challenges at the National Research Council Canada

Abstract

The cross-disciplinary future of knowledge domainsmapping requires the fusion of multiple data sources,methodologies, and theories, shifting from descriptiveto predictive models. This paper explores some of theNational Research Council Canada challenges inusing knowledge domain mapping to better forecastthe future and advances a call for action.L’avenir interdisciplinaire de la cartographie desdomaines de connaissances nécessite la fusion demultiples sources de données, méthodes et théories,et le passage de modèles descriptifs à des modèlesprédictifs. Cette présentation explore certains desdéfis que rencontre le Conseil national de recherchesdu Canada dans l’utilisation de la cartographie desdomaines de connaissances pour mieux prévoirl’avenir, et propose un appel à l’action.

Identification of research trends in emerging technologies implementation on public services using text mining analysis

“…In this context, performance analysis allows researchers to measure, quantitatively and qualitatively, the contribution of ETs in public services, understanding the dynamics over different years in the evolution of the ETs in public services research and mapping the science landscape, which has become a focus area for research (Archambeault et al. , 2015).…”

“…In this context, performance analysis allows researchers to measure, quantitatively and qualitatively, the contribution of ETs in public services, understanding the dynamics over different years in the evolution of the ETs in public services research and mapping the science landscape, which has become a focus area for research (Archambeault et al, 2015). Also, clustering scientific publications is an important technique in bibliometric analysis (van Eck and Waltman, 2017) that enables the researcher both to map and assess the existing intellectual territory.…”