Doctoral Dissertation Research: A performance evaluation measurement system for science and engineering research centers

这项研究为合作研究中心提供了绩效指标，这些合作研究中心通过政府、产业界和学术界建立的合作伙伴关系来加强翻译研究。中心是复杂生态系统的一部分，在所开展的科学类型、组织结构和预期结果方面存在很大差异。实现其目标的能力有赖于透明的测量系统来辅助科技翻译的决策。这项研究引入了一种同时使用定量和定性指标的分层决策模型。基于计划目标开发了一个可概括的模型。通过咨询专家对结果进行了验证。该方法使用美国国家科学基金会产学研合作研究中心(IUCRC)的数据进行了验证。该方法为可推广的模型和测量系统提供了基础，该模型和测量系统比较了行业和政府支持的大学理工科研究中心的绩效。

This research provides performance metrics for cooperative research centers that enhance translational research through partnerships formed by government, industry and academia. Centers are part of complex ecosystems and vary greatly in the type of science conducted, organizational structures and expected outcomes. The ability to realize their objectives depends on transparent measurement systems to assist in decision making in research translation. This research introduces a hierarchical decision model that uses both quantitative and qualitative metrics. A generalizable model is developed based upon program goals. The results are validated through consultation with experts. The method is validated using data from the National Science Foundation's industry/university cooperative research centers (IUCRC). The methodology provides a basis for a generalizable model and measurement system that compares performance of university science and engineering focused research centers supported by industry and government.