Social Matching for Health Researchers PROCEEDINGS
Diego Macrini, Heidi Sveistrup, University of Ottawa, Canada
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Montréal, Quebec, Canada ISBN 978-1-880094-98-3 Publisher: Association for the Advancement of Computing in Education (AACE), Chesapeake, VA
This paper is a report on the findings of a study on a novel collaborative web tool that aims to foster collaboration and increase social interaction within organizations. The study was conducted with the research communities in health and continuing care within the Faculty of Health Sciences at the University of Ottawa and the Élisabeth Bruyère Research Institute. The large number of researchers and physical disconnection of the workspaces limit social interaction amongst researchers, and lead to unawareness about opportunities for interdisciplinary collaboration. Qualitative analysis based on personal interviews and focus groups was done to determine whether the proactive construction of a social network using social matching techniques is an effective approach to both promote and analyze the social interaction across these two organizations.
Macrini, D. & Sveistrup, H. (2012). Social Matching for Health Researchers. In T. Bastiaens & G. Marks (Eds.), Proceedings of E-Learn 2012--World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 1 (pp. 700-709). Montréal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved July 16, 2018 from https://www.learntechlib.org/primary/p/41674/.
© 2012 Association for the Advancement of Computing in Education (AACE)