The shift from 'trust-based funding' to 'performance-based funding' is one of the factors that has forced institutions to strive for continuous improvement of performance. Several studies have established the importance of collaboration in enhancing the performance of paired institutions. However, identification of suitable institutions for collaboration is sometimes difficult and therefore institutional collaboration recommendation systems can be vital. Currently, there are no well-developed institutional collaboration recommendation systems. In order to bridge this gap, we design a framework that recognizes thematic strengths and core competencies of institutions, which can in turn be used for collaboration recommendations. The framework, based on NLP and network analysis techniques, is capable of determining the strengths of an institution in different thematic areas within a field and thereby determining the core competency and potential core competency areas of that institution. A major advantage of the system is that it can help to determine and improve the research portfolio of an institution within a field through suitable collaboration, which may lead to the overall improvement of the performance of the institution in that field. The framework is demonstrated by analyzing the performance of 195 Indian institutions in the field of 'Computer Science'. Upon validation using standard metrics for novelty, coverage and diversity of recommendation systems, the framework is found to be of sufficient coverage and capable of tossing novel and diverse recommendations. The article thus presents an institutional collaboration recommendation system which can be used by institutions to identify potential collaborators.
翻译:从“基于托拉斯的供资”到“基于业绩的供资”的转变是迫使各机构努力不断改进业绩的因素之一。一些研究确定了合作在提高对口机构业绩方面的重要性。然而,确定适当的协作机构有时很困难,因此机构协作建议系统至关重要。目前,没有完善的机构协作建议系统。为了缩小这一差距,我们设计了一个框架,承认各机构的专题优势和核心能力,而这种能力又可用于提出协作建议。该框架基于国家实验室方案和网络分析技术,能够确定一个不同专题领域机构在外地的优势,从而确定该机构的核心能力和潜在核心能力领域。该系统的一个主要优势是,它能够通过适当的合作,帮助确定和改进一个机构在该领域的一揽子研究,这可能导致该机构在这一领域的业绩得到全面改善。框架的证明是,通过分析印度195个机构在“Computer科学”领域的业绩,在使用标准指标进行验证,以了解新颖性、覆盖面和多样性的建议系统,从而确定该机构的核心能力和潜在能力。该系统通过适当的协作框架,确定一个能够被使用的机构框架,从而确定一个能够被利用的机构框架。