Finding collaborators to engage in academic research is a challenging task, especially when the collaboration is milltidisciphnary in nature and collaborators are needed from different disciplines. This paper uses evidence of successful multidisciplinary collaborations, funded proposals, in a novel way: its an input for a method of recommendation of multidisciplinary collaboration teams. We attempt. to answer two questions posed a collaboration seeker: what disciplines provide collaboration opportunities and what combinations of characteristics of collaborators have been successful in the past? We describe a two-step recommendation framework where the first step recommends potential disciplines with collaboration potential based on current trends in funding. The second step recommends characteristics for a collaboration team that are consistent with past instances of successful collaborations. We examine how this information source can be used in a case-based recommender system and present a preliminary validation of the system using statistical methods.
机构:
Univ Calif San Francisco, Dept Neurol Surg, 400 Parnassus Ave,A808,Box 0372, San Francisco, CA 94143 USAUniv Calif San Francisco, Dept Neurol Surg, 400 Parnassus Ave,A808,Box 0372, San Francisco, CA 94143 USA