The research challenges facing the scientific community have spurred an increase in multidisciplinary research. Such multidisciplinary collaborations span traditional disciplinary boundaries, bringing together researchers with diverse backgrounds, skills, and research practices. With agencies such as the National Science Foundation and National Institutes of Health seeking to encourage this type of research by increasing funding opportunities, this provides incentives for researchers, particularly for tenure track junior faculty, to advance their careers by engaging in multidisciplinary research. To engage in multidisciplinary collaborations, researchers have to find collaborators outside of their domain, a task harder than finding a collaborator within one's own domain. The personal resources that can be leveraged and the technological tools currently available fall short of meeting the needs of an academic researcher seeking a collaborator with whom to engage in multidisciplinary research. This research explores the possibility of a systematic solution to the problem of finding collaborators in disciplines outside one's own. One method of problem solving is to use previous successful examples as a guide. Utilizing this type of reasoning in a systematic manner, this research investigates how existing collections of outputs from collaborations, such as grants and peer-reviewed journal publications, can be used to solve this problem of finding partners to engage in multidisciplinary research collaborations. These are collections of collaborations that have achieved some degree of success: each grant proposal was funded and each article was published in a peer-reviewed journal. This research explores whether there is knowledge embedded in these past experiences that can be used to recommend new potential collaborators for those seeking to engage in multidisciplinary research.
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Details
Title
Recommending Collaborators for Multidisciplinary Academic Collaboration
Creators
Sidath Deepal Gunawardena - Drexel University
Rosina O. Weber - Drexel University
Resource Type
Conference presentation
Language
English
Academic Unit
Information Science
Other Identifier
991014632333004721
Recommending Collaborators for Multidisciplinary Academic Collaboration