Collaborative Research: Industries of Ideas: A prototype system for measuring the effects of research investments on regional firms and jobs

协作研究：创意产业：衡量研究投资对区域企业和就业影响的原型系统

• 批准号: 2332573
• 负责人: Anna Harvey
• 金额: $ 123.51万
• 依托单位: Social Science Research Council
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2026-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332573&HistoricalAwards=false
• 关键词: Collaborative; Research; Industries; Ideas; prototype

The Industries of Ideas: A prototype system for measuring the effects of research investments on regional firms and jobs proposes to test a first of its kind end-to-end data-driven pilot framework for assessing the impact of research investment in specific technology areas on corresponding regional firms and jobs. The CHIPS and Science Act supports investments in key technologies to drive innovation, create jobs, and establish technology hubs across the United States. Understanding the impacts of such investments in the ten technology areas described in the CHIPS and Science Act can be challenging given current data and methods because new technologies such as AI, quantum computing, biomanufacturing and others are difficult to map to specific sectors and are also quickly evolving. There are no current means to systematically identify all the industries, employers, and workers which those technologies might affect. To address these challenges the Industries of Ideas project will engage with various stakeholders through outreach and community engagement, create a prototype dashboard for effective accessible visualization and communication of relevant information, and develop metrics for effectiveness of the outcomes. The initial focus of this project is on the State of Ohio — a large, diverse state with much of the requisite data infrastructure already in place and with two rapidly emerging technology areas, viz., Artificial Intelligence (AI) and Electric Vehicles (EV). The project will establish plans and partnerships for scaling this effort from a single state to the national level. The tracking of investment impacts is challenging in multiple ways. Identifying investments in rapidly evolving, trans-disciplinary technology areas that do not align with existing classification systems is difficult. Existing methods and data also cannot identify the companies, jobs, and individuals affected by research investments in emerging technologies a priori, rendering traditional sample survey methods inadequate. Reporting at the regional level can be challenging due to data limitations and privacy requirements. Requirements for timely reporting are also hindered by the current state of relevant data sources which exhibit significant time lags in producing the data. The project addresses these challenges by using a framework based on data linkage and inductive, iterative expansion of inclusion restrictions to take advantage of established network effects. Core to the approach is the idea that research funding enables the work of innovators, which generates valuable ideas and skilled people who then contribute to the economy through networks created by the mobility of knowledge-workers. The proposed novel approach categorizes firms into "idea industries" based on: (1) the research-trained individuals employed by those firms and (2) the research projects to which they supply inputs. This is achieved by linking together close to real-time bibliometric/textual data, university administrative records, and state workforce data, and using a “snowball” logic to identify industry and workforce effects of scientific investments that are difficult to measure otherwise. The project builds upon existing, proven platforms with which the project team has significant experience. The novelty of the work is in its integrative, scalable, iterative nature. The project will engage the regional community and create measures, plans and support for expansion to other regions of the country. The project will develop a prototype dashboard that can be improved and expanded upon iteratively over time. The work will also develop methods and templates for system building that can be integrated with other analysis efforts, allowing for triangulation across multiple data sources and approaches. The framework is designed to be expanded in three ways: (1) by including more technology areas and additional states; (2) by incorporating additional data sources like information on post-secondary certificate and degree recipients; and (3) by transitioning from prototype development to a software platform and data production system suitable for a wealth of use cases. The project will collaborate closely with three major stakeholder groups, viz., university leaders, regional innovation ecosystem leaders, and state agency leaders to help inform the design of the system, develop metrics for success, and make improvements to the system. The outreach and engagement with the stakeholder community will help secure the broadest possible use of the prototype and build support and momentum for planned future expansions.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.

思想的行业：一种原型系统，用于衡量研究投资对区域公司的影响，并探测了第一个端机的数据驱动的试点框架。在Corresspong的法制公司和工作中，《芯片与科学法》在关键技术中投资，以推动创新的Tablish技术中心，这在《筹码ND科学法》中的十种技术描述中都可以挑战givent数据和方法作为特定秘书的AI AP，也很快就没有系统地确定所有行业，工人以及这些技术可能会影响死亡行业的工人。英语，并为结果的最初重点开发出具有许多必要的数据基础架构IND的雕像。在多种方式上，识别快速进化系统的投资。在生产DAT时表现出很大的时间。通过知识工作者的流动性，将公司涌入：（1）这些公司雇用的研究人员以及（2）通过将其链接在一起链接到的研究项目。进行实时的文献计量/文本数据，大学行政记录和州劳动力数据，并使用“雪球”逻辑来识别和工作，而科学TS则是依次衡量的，这些逻辑是在否则的情况下衡量的。团队具有重要的作品，这是其综合性的，该项目是区域社区的，并向该项目的其他地区进行措施或扩展。这项工作将开发用于系统建设的方法，这些方法可以与其他数据源和方法进行三角测量的努力。通过将ADDA资源纳入有关大专证书和学位的信息之类的信息；（3）通过将原型开发过渡到适合大量用例的软件平台和数据生产系统，该项目将与三个主要的利益相关者密切合作小组，即大学领导者的领导者，以帮助系统的设计，开发指标，以取得成功，并对系统进行改进。该奖项反映了NSF的Beend Demed值得支持的支持，并使用基金会的宗旨优点和更广泛的影响审查标准。