Forecasting Innovation Pathways of Big Data & Analytics

研究和开发（研发）导致新的科学技术创新的创造。 有必要更好地了解研究发现如何转化为新技术，然后发展为有用的创新。 用于解决这一问题的方法要么利用大量历史信息中的趋势，要么利用专家的判断。 该项目将应用先进的研究技术，以加强确定趋势和模式的方法，并帮助预测创新途径。 这些知识对于通过明智地投资于高前景的研发来促进科学进步至关重要。 该项目将提供一个案例研究，以改进五个分析过程，这些过程被认为对改进预测创新途径的方法至关重要。 要分析的案例是？大数据分析？?一个具有重大国家意义的话题。 弄清楚如何从大数据集中获得优势将影响国家科学进步，工业生产力和国防。 与此同时，大数据带来了隐私和安全等问题。 选择大数据的主题是因为它正在由美国政府问责局（GAO）进行研究。 我们期望与GAO分享有关方法和发现的信息，以深入了解如何使我们的方法更有用。.该提案扩展了先前资助的SciSIP项目（1064146），以解决解决GAO案件的时间有限的机会。

Research and development (R&D) leads to the creation of new science-based technology innovations. There is a need to improve understanding of how research discoveries translate into new technologies and then develop into useful innovation. Methods used to address this concern either draw on trends in large amounts of historic information or draw on expert judgment. This project will apply advanced research techniques to enhance methods to identify trends and patterns, and to help forecast innovation pathways. Such knowledge is vital to promote scientific progress by investing judiciously in high promise R&D. It also can aid in technology management to determine how best to advance a specific field of science.This project will provide a case study to improve five analytical processes, identified as vital to improve the methodology of forecasting innovation pathways. The case to be analyzed is ?big data & analytics? ? a topic of great national importance. Figuring out how to gain advantage from large data sets will impact national scientific progress, industrial productivity, and defense. At the same time, big data poses issues of privacy and security, among others. The topic of big data was selected because it is under study by the U.S. Government Accountability Office (GAO). We anticipate sharing information on methods and findings with GAO to gain insight into ways to make our methodology more useful. . This proposal extends a previously funded SciSIP project (1064146) to address a time-limited opportunity to address the GAO case.