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BLUEPRINTS FOR SUCCESS Guidelines for Building Multidisciplinary Collaboration Teams
Conference proceeding   Open access

BLUEPRINTS FOR SUCCESS Guidelines for Building Multidisciplinary Collaboration Teams

Sidath Gunawardena and Rosina O. Weber
ICAART: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1, pp 387-393
01 Jan 2012
DOI: https://doi.org/10.5220/0003753503870393
url
https://doi.org/10.5220/0003753503870393View
Published, Version of Record (VoR)CC BY-NC-ND V4.0,  Open

Abstract

Computer Science Computer Science, Artificial Intelligence Computer Science, Software Engineering Science & Technology Technology
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.

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Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Software Engineering
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