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Designing a CTSA-Based Social Network Intervention to Foster Cross-Disciplinary Team Science

机译:设计基于CTSA的社交网络干预措施以培养跨学科团队科学

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This paper explores the application of network intervention strategies to the problem of assembling cross-disciplinary scientific teams in academic institutions. In a project supported by the University of Florida (UF) Clinical and Translational Science Institute, we used VIVO, a semantic-web research networking system, to extract the social network of scientific collaborations on publications and awarded grants across all UF colleges and departments. Drawing on the notion of network interventions, we designed an alteration program to add specific edges to the collaboration network, that is, to create specific collaborations between previously unconnected investigators. The missing collaborative links were identified by a number of network criteria to enhance desirable structural properties of individual positions or the network as a whole. We subsequently implemented an online survey (N = 103) that introduced the potential collaborators to each other through their VIVO profiles, and investigated their attitudes toward starting a project together. We discuss the design of the intervention program, the network criteria adopted, and preliminary survey results. The results provide insight into the feasibility of intervention programs on scientific collaboration networks, as well as suggestions on the implementation of such programs to assemble cross-disciplinary scientific teams in CTSA institutions.
机译:本文探讨了网络干预策略在学术机构中跨学科科学团队组建中的应用。在佛罗里达大学(UF)临床与转化科学研究所支持的一个项目中,我们使用了VIVO(一种语义网络研究网络系统)提取出版物上科学合作的社交网络,并在所有UF大学和系中授予了赠款。利用网络干预的概念,我们设计了一个变更程序,以向协作网络添加特定的优势,即在先前未连接的调查人员之间创建特定的协作。缺少的协作链接由许多网络标准标识,以增强各个职位或整个网络的理想结构特性。随后,我们进行了在线调查(N = 103),该调查通过潜在的合作伙伴通过他们的VIVO个人资料相互介绍,并调查了他们对共同开展项目的态度。我们讨论了干预计划的设计,采用的网络标准以及初步调查结果。结果为深入了解科学合作网络上干预计划的可行性提供了建议,并提出了实施此类计划以在CTSA机构中组建跨学科科学团队的建议。

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