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

NSF EAGER：使用 EventFlow 可视化科学、技术和创新活动序列，以开发新的创新指标

• 批准号: 1551041
• 负责人: Christopher Dempwolf
• 金额: $ 5.93万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2016-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1551041&HistoricalAwards=false
• 关键词: NSF; EAGER; Visualizing; science; technology

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.

理解科学资助、就业和其他结果指标之间的关系是一个关键的国家目标。本研究旨在对科学、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，制定更好的成果和影响指标。STI过程由涉及基础和应用研究、出版、发明和导致新产品商业化的原型的项目活动组成。该项目开发了商业化STI过程研究的新直接措施，填补了关于STI活动和过程的顺序和持续时间的重大知识空白。这项研究有可能促进旨在加速创新的政策。本研究利用STAR METRICS Federal Reporter数据，并探索与专利、SBIR奖励和其他数据源的联系，对最终推出新产品的科技创新活动（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。EventFlow工具将为联邦政府资助的基础和应用研究如何与其他类型的活动联系起来，最终导致新产品的商业化提供新颖的可视化。