BLUEPRINTS FOR SUCCESS Guidelines for Building Multidisciplinary Collaboration Teams

被引:0
|
作者
Gunawardena, Sidath [1 ]
Weber, Rosina O. [1 ]
机构
[1] Drexel Univ, iSch, Philadelphia, PA 19104 USA
关键词
Recommender Systems; Case-Based Reasoning; Multidisciplinary Collaboration;
D O I
10.5220/0003753503870393
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:387 / 393
页数:7
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