NSF EAGER: Visualizing science, technology and innovation activity sequences using EventFlow to develop new metrics of innovation

了解科学资助，就业和其他成果指标之间的关系是一个关键的国家目标。该研究旨在对科学、技术和创新（STI）流程和网络进行建模、可视化和理解，以加速创新并制定更好的成果和影响指标。科学、技术和创新进程由涉及基础和应用研究、出版、发明和原型制作的项目活动组成，这些活动导致新产品的商业化。该项目为科学、技术和创新研究商业化进程制定了新的直接衡量标准，填补了科学、技术和创新活动和进程的顺序和持续时间方面的重大知识空白。 这项研究有可能促进旨在加速创新的政策。本研究使用星星METRICS联邦报告数据并探索与专利、SBIR奖项和其他数据源的链接，对科技创新活动（包括研究、发明、概念验证和商业化）的时间序列进行建模和测量，最终推出新产品。EventFlow工具将被采用，以提供联邦资助的基础和应用研究如何与其他类型的活动联系起来的新的可视化，最终导致新产品的商业化。

Understanding the relationship between science funding, employment, and other outcome metrics is a key national goal. This research seeks to model, visualize and understand Science, Technology and Innovation (STI) processes and networks in order accelerate innovation and develop better outcome and impact metrics. STI processes are comprised of project activities involving basic and applied research, publication, invention, and proto-typing leading to the commercialization of new products. This project develops new direct measures of the research to commercialization STI process and fills a significant knowledge gap with respect to the sequences and duration of STI activities and processes. The research has the potential to facilitate policy aimed at accelerating innovation. This research models and measure temporal sequences of STI activities (including research, invention, proof-of-concept, and commercialization) culminating in the launch of new products, using STAR METRICS Federal Reporter data and exploring links to patents, SBIR awards and other data sources. The EventFlow tool will be adopted to offer novel visualizations of how federally sponsored basic and applied research connects with other types of activities leading ultimately to commercialization of new products.