SBIR Phase I: Automated Competitive Intelligence Product for Decision-Making and Training in the Innovation Enterprise

本小型企业创新研究一期项目旨在为学术创新管理的教育、培训和决策提供一个自动化、智能的竞争情报产品。目前，纳税人的钱有400亿到600亿美元花在了学术研究上。然而，在学术研究投资中产生的80%的发明并不以产品或收入的形式影响社会。当前流程的主要缺陷包括昂贵和耗时的决策，以及缺乏培训、教育和工作流程。这最终导致学术创新管理缺乏最佳实践。该项目将产生能够教育和交叉培训发明者和发明经理的产品，将为每项发明产生自动化和适当的决策，并将简化工作流程，从而为行业定义最佳实践。该项目将产生若干积极影响，包括降低成本和增加学术发明的商业伙伴关系。这种商业伙伴关系的增加将增加产品和收入。因此，由于这个项目，休眠发明的潜力将得到实现，这反过来将创造就业机会并推动对创新经济的再投资。因此，该产品将撬动投入学术研究的数十亿美元。本项目拟构建一个自动化发明管理和决策的产品。决策是通过从几个领域的不同来源聚合的信息或数据以及通过吸收人员见解来授权的。这是通过允许从多个领域的多个来源收集数据并在本发明的上下文中向用户提供最相关的数据的设计来实现的。用于开发决策技术的数学建模是基于客观标准而不是主观标准。这个项目产生的产品将托管在云中，具有对几层用户的唯一访问点。用户界面和分析输出将根据用户类型进行定制。此外，该设计可容纳不同层次的多个用户，并将作为协作的门户网站。研究项目的总体目标是提供一个可定制的自动化创新决策产品，以适应不同学术创新中心的风险概况。第一阶段项目的目标是构建一个可以进行测试的概念验证产品。

This Small Business Innovation Research Phase I project proposes to build an automated, smart competitive intelligence product for education, training and decision-making in academic innovation management. Currently, $40b- $60b of tax payer dollars is spent in academic research. Yet, 80% of inventions that arise from this investment in academic research do not impact society as product(s) or revenue. The key deficiencies of current processes include, costly and time-consuming decision-making, and lack of training, education and work-flow. This ultimately has resulted in lack of best practices in academic innovation management. This project would result in products that would educate and cross- train inventors and invention managers, would produce automated and appropriate decisions for every invention and would streamline workflow, thus defining best-practices for the industry. This project would have several positive impacts, including lowering costs and increasing business partnerships for academic inventions. Such increase in business partnerships would increase products and revenue. Thus, as a result of this project, the potential of dormant inventions would be realized, which would in-turn creates jobs and fuel reinvestment into the innovation economy. Thus the product would leverage the billions invested in academic research. This project proposes to build a product for automated invention management and decision-making. The decision-making is empowered by information or data aggregated from disparate sources in several domains as well as by assimilation of personnel insights. This is accomplished by the design that allows collection of data from several sources in multiple domains and providing the most relevant data to the user in the context of the invention. The mathematical modeling used to develop the decision-making technology is based on objective criteria rather than on subjective criteria. The product resulting from this project will be hosted in the cloud with unique access points to several layers of users. The user-interfaces and the analytical output will be customized to the type of user. Moreover, the design accommodates multiple users at the different layers and will serve as a web-portal for collaboration. The overall goal of the research project is to provide an automated innovation decision-making product that is customizable to suit the risk profiles of different academic innovation centers. The goal of the Phase I project is to build a proof-of-concept product that can undergo testing.