Core-008

网络的语言是在大规模的研究组织的背景下使用的，但正式的 网络科学技术作为评估影响的方法没有得到充分利用。评估全面 密歇根州临床与健康研究所（区域）和 临床和转化科学奖（CTSA）计划（全国），有一个科学的迫切需要， 直接测量网络结构和功能的方法。我们将建立在新兴的 文学在这一领域，并利用密歇根大学在网络科学的独特优势， 实现以下具体目标：1）使用网络科学来测试假设，即MICHR是一个枢纽， 增强转化研究的前景; 2）开发，展示和传播网络方法 评估培训计划对临床和转化研究人员职业轨迹的影响; 3） 开发新的工具来可视化研究网络的功能和演变，重点是CTSA。的 这些目标的成功实现将产生强有力的新方法和工具，提高我们的能力， 衡量研究干预和教育干预的影响。因为技术是 所采用的是完全定量的，其有效性很容易接受统计证明， 在CTSA中传播。

The language of networks is used in the context of large-scale research organizations, but the formal techniques of network science have been underutilized as a method of assessing impact. To assess the full quantitative and qualitative impact of the Michigan Institute of Clinical & Health Research (regionally) and the Clinical and Translational Science Awards (CTSA) program (nationally), there is a critical need for scientific approaches that directly measure the structure and function of networks. We will build on the emerging literature in this field, and leverage the unique strengths of the University of Michigan in network science, to accomplish the following specific aims: 1) Use network science to test the hypothesis that MICHR is a hub that enhances the translational research landscape; 2) Develop, demonstrate, and disseminate network methods that assess the impact of training programs on the career trajectory of clinical and translational researchers; 3) Develop new tools to visualize the function and evolution of research networks, with a focus on the CTSA. The successful completion of these aims will result in powerful new methods and tools that advance our ability to measure the impact of both research interventions and educational interventions. Since the techniques to be employed are fully quantitative, their effectiveness is readily amenable to statistical demonstration and dissemination across the CTSA.