BIGDATA: IA: Virtual Observatory of Innovation Communities and Ecosystems (VOICE): Advancing Big Data with Ecology Theory and Data Science

大数据：IA：创新社区和生态系统虚拟观测站（VOICE）：利用生态理论和数据科学推进大数据

• 批准号: 1546404
• 负责人: Ping Wang
• 金额: $ 33.96万
• 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: 2016
• 资助国家: 美国
• 起止时间: 2016-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1546404&HistoricalAwards=false
• 关键词: BIGDATA; IA; Virtual; Observatory; Innovation; BIGDATA; IA; Virtual; Observatory; Innovation

Today's digital revolution is fostering remarkable innovations. The landscape of innovation is rapidly changing and thus difficult to navigate or study. Understanding broader participation in innovation requires large datasets on the innovation participants and their activities. As organizational and industry boundaries become fuzzy in the digitized world, small data analysis cannot fully explain how boundaries shift and evolve. Open innovation leads to overlapping roles of designer and user, making it inadequate to examine innovation development and adoption separately. Therefore, it is necessary to collect data on larger units of analysis encompassing multiple organizations and multiple industries engaging in both the production and use of innovations. Further, the fast pace and risky nature of digital innovations mean that it is no longer sufficient to retrospectively study only successful innovations , but it is important to analyze contemporaneous data on a full range of innovations, including emergent and potentially failing ones, as they unfold. Addressing these challenges in conducting and studying digital innovations, this research team will build the Virtual Observatory of Innovation Communities and Ecosystems (VOICE) that (1) collects, connects, and curates large datasets from multiple sources on the people, groups, and organizations engaging with multiple innovations; (2) employs data science techniques to process and analyze these datasets; and (3) advances an ecology theory of digital innovation.The project collects data on Big Data innovations from popular, professional, and trade press; academic publications; press releases; blogs and wikis; and social media. Further, a suite of theory-informed measures and models are developed for characterizing the evolving innovations and their communities in the Big Data ecosystem. Finally, via an open, layered modular information platform, the project's datasets and tools are shared widely and data and tools from other innovation ecosystems can be added as well. The VOICE platform would become a "Hubble Telescope" for everyone to observe and partake in digital innovations beyond those associated with Big Data. Policymakers are able to evaluate the mix of capabilities in innovation communities and recommend necessary interventions to broaden participation, reduce inequality, and cultivate partnerships. By monitoring emergent trends in different but related innovation communities, entrepreneurs and managers would be more likely to develop or adopt the right innovation at the right time. Overall, VOICE enhances the research and education infrastructure that supports individuals from underrepresented backgrounds, students, educators, and other citizens to engage mindfully with science and technology innovations.

当今的数字革命正在促进非凡的创新。创新的景观正在迅速发生变化，因此很难导航或学习。了解更广泛的参与创新需要有关创新参与者及其活动的大量数据集。随着组织和行业边界在数字化的世界中变得模糊，小型数据分析无法完全解释边界的变化和发展。开放创新导致设计师和用户的角色重叠，因此分别研究创新开发和采用不足。因此，有必要收集有关较大分析单位的数据，包括多个组织和多个从事创新生产和使用的行业。此外，数字创新的快速速度和冒险性质意味着，仅回顾性地研究成功的创新就不足以进行回顾，但是在整个创新中分析同期数据很重要，包括新兴的创新，包括新兴和潜在的失败。该研究团队应对进行和研究数字创新的这些挑战，将建立创新社区和生态系统（语音）的虚拟观察者（（1）（1）（1）收集，连接和策划来自人员，团体和组织的多个来源的大型数据集； （2）采用数据科学技术来处理和分析这些数据集； （3）推进了数字创新的生态学理论。该项目收集了有关受欢迎，专业和贸易出版社的大数据创新的数据；学术出版物；新闻发布；博客和维基斯；和社交媒体。此外，开发了一系列理论知识的措施和模型，以表征大数据生态系统中不断发展的创新及其社区。最后，通过一个开放的分层模块化信息平台，项目的数据集和工具被广泛共享，并且还可以添加来自其他创新生态系统的数据和工具。语音平台将成为一个“哈勃望远镜”，每个人都可以观察并参与与大数据相关的数字创新。决策者能够评估创新社区中能力的组合，并建议采取必要的干预措施，以扩大参与，减少不平等和建立伙伴关系。通过监测不同但相关的创新社区的新兴趋势，企业家和经理将在正确的时间发展或采用正确的创新。总体而言，声音增强了支持来自代表性不足的背景，学生，教育工作者和其他公民的个人的研究和教育基础设施，从而谨慎地参与科学和技术创新。