EAGER: The Impact of Innovation Ecosystem Acceleration Training on Ecosystem Mapping, Stakeholder Engagement, and Regional Innovation Engine Choice

EAGER：创新生态系统加速培训对生态系统规划、利益相关者参与和区域创新引擎选择的影响

• 批准号: 2342005
• 负责人: Scott Stern
• 金额: $ 30万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2024-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2342005&HistoricalAwards=false
• 关键词: EAGER; Impact; Innovation; Ecosystem; Acceleration

Recent years have seen the establishment of a significant number of new Federal programs aimed at harnessing the potential of regional innovation “ecosystems,” including the NSF TIP Regional Innovation Engines (RIE) program. Relative to traditional research grants, place-based interventions are not directed toward a specific research project but rather aim to reshape interactions among researchers and other stakeholders within a given geographic location. The aim of an ecosystem Engine intervention is “wire” or “re-wire” an innovation ecosystem in order to enhance innovative productivity and impact. The choice, design elements, and ultimate performance of an innovation ecosystem is hypothesized to be a function of (a) the specific initial conditions of a given ecosystem, (b) the degree of engagement and commitment by specific stakeholders within that ecosystem and (c) potential interactions between initial conditions and stakeholder engagement. The research to be done in this project will take advantage of an innovation ecosystem training program in order to undertake an empirical analysis of these hypotheses. Despite significant academic and policy interest in the role of such federal interventions, there is to date no systematic empirical study of the process by which regional innovation stakeholders undertake innovation ecosystem analyses, engage innovation ecosystem stakeholders, or choose innovation ecosystem interventions. As such, the project has the potential to contribute to our theoretical understanding and policy analyses regarding the design of place-based innovation policy interventions. The research will take advantage of an opportunity to conduct training on innovation ecosystems as part of the NSF Regional Innovation Engines (“NSF Engines”) program for the program's Development Awardees. This training effort will provide the investigators the ability to (a) gather systematic and structured data about the innovation ecosystem assessments of the “as-is” ecosystem state undertaken by NSF RIE awardees, (b) document the participation (and level of engagement and commitment by different potential ecosystem stakeholders (e.g., universities, start-ups, local government, research laboratories, corporates, etc.), and (c) observe the proposed intervention that these Development Awardees ultimately submit as their future NSF Engines grant application. The ability to capture real-time data of the analysis and degree of engagement by more than 40 regional Type 1 awardees will allow for a direct evaluation of key hypotheses noted above, and provide insight into the role of ecosystem and stakeholder characteristics in shaping regional strategic Engine choice and performance.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

近年来，建立了许多新的联邦计划，旨在利用包括NSF TIP区域创新引擎（RIE）计划在内的区域创新“生态系统”的潜力。相对于传统的研究补助金，基于地方的干预措施并非针对特定的研究项目，而是旨在重塑给定地理位置内研究人员和其他利益相关者之间的相互作用。生态系统发动机干预的目的是“电线”或“重新连接”创新生态系统，以提高创新的生产力和影响。假设创新生态系统的选择，设计元素和最终性能是（a）给定生态系统的特定初始条件的函数，（b）该生态系统中特定利益相关者的参与程度和承诺程度，以及（c）初始条件和利益相关者之间的潜在互动。该项目将进行的研究将利用创新生态系统培训计划，以对这些假设进行经验分析。尽管对这种联邦干预措施的作用有很大的学术和政策兴趣，但迄今为止，尚无对地区创新利益相关者进行创新生态系统分析，参与创新生态系统利益相关者或选择创新生态系统干预的过程的系统经验研究。因此，该项目有可能为我们的理论理解和政策分析做出贡献，以设计基于地点的创新政策干预措施。这项研究将利用机会作为该计划的开发奖的NSF区域创新引擎（“ NSF引擎”）计划进行创新生态系统培训。 This training effort will provide the investigators the ability to (a) gather systematic and structured data about the innovation ecosystem assessments of the “as-is” ecosystem state undertaken by NSF RIE Awardees, (b) document the participation (and level of engagement and commitment by different potential ecosystem stakeholders (e.g., universities, start-ups, local government, research laboratories, corporations, etc.), and (c) observe the proposed这些开发获奖者最终将其作为未来的NSF发动机授予应用的干预措施。使用基金会的智力优点和更广泛的影响评估标准进行评估。