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

今天的数字革命正在孕育着非凡的创新。创新的格局正在迅速变化，因此很难导航或研究。要想更广泛地参与创新，需要有关创新参与者及其活动的大量数据集。随着组织和行业的边界在数字化世界中变得模糊，小数据分析无法完全解释边界是如何变化和演变的。开放式创新导致设计者和使用者的角色重叠，使得单独审查创新开发和采用是不够的。因此，有必要收集涉及多个组织和多个行业的大型分析单位的数据，这些组织和行业既从事创新的生产，又从事创新的使用。此外，数字创新的快节奏和高风险意味着，仅仅回顾研究成功的创新不再足够，但重要的是，随着创新的展开，分析全面创新的同期数据，包括新兴和潜在的失败创新。为了应对在进行和研究数字创新方面的这些挑战，该研究团队将建立创新社区和生态系统虚拟观察站(VOICE)，该虚拟观察站(VOICE)将(1)从多个来源收集、连接和管理有关从事多种创新的个人、团体和组织的大型数据集；(2)使用数据科学技术来处理和分析这些数据集；以及(3)提出数字创新的生态理论。该项目从流行、专业和行业媒体、学术出版物、新闻稿、博客和维基以及社交媒体收集有关大数据创新的数据。此外，还开发了一套基于理论的衡量标准和模型，用于描述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、分层的模块化信息平台，该项目的数据集和工具可以广泛共享，也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”，让每个人都可以观察和参与与大数据相关的数字创新。政策制定者能够评估创新社区的能力组合，并建议必要的干预措施，以扩大参与、减少不平等和培育伙伴关系。通过监测不同但相关的创新社区的新趋势，企业家和管理者将更有可能在正确的时间开发或采用正确的创新。总体而言，Voice增强了研究和教育基础设施，支持来自代表性不足的背景的个人、学生、教育工作者和其他公民专注于科学和技术创新。

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.