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。创新的前景正在迅速变化，因此很难驾驭或研究。了解更广泛的创新参与需要大量关于创新参与者及其活动的数据集。随着组织和行业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如何变化和进化。开放式创新导致设计者和使用者的角色重叠，单独考察创新的发展和采用是不够的。因此，有必要在更大的分析单元上收集数据，包括参与创新生产和使用的多个组织和多个行业。此外，数字创新的快节奏和高风险意味着，仅仅回顾性地研究成功的创新已经不够了，重要的是要分析各种创新的同期数据，包括新兴的和可能失败的创新。为了解决开展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测站（VOICE），该观测站(1)收集、连接和管理来自多个来源的大型数据集，这些数据集涉及参与多种创新的人员、团体和组织；(2)运用数据科学技术处理和分析这些数据集；(3)提出了数字创新的生态学理论。该项目从大众、专业和行业出版社收集大数据创新数据；学术刊物;新闻稿;博客和维基；还有社交媒体。此外，本文还开发了一套基于理论的措施和模型，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，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。VOICE平台将成为一个“哈勃望远镜”，让每个人都能观察和参与到与大数据相关的数字创新中。决策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、减少不平等和培养伙伴关系。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背景的个人、学生、教育工作者和其他公民有意识地参与科学和技术创新。

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.