Data-Driven knowledge mobilization, translation and innovation

知识工作者在今天的劳动力中占很大比例，他们在大型专家网络的背景下工作，跨越不同的学科和组织。他们依靠软件技术来进行特定学科的活动，以及相互之间的协调和沟通。这种网络化、跨学科的知识工作源于这样一种信念，即我们这个时代的复杂问题只有通过专家和合作伙伴的广泛合作才能得到有效解决，这些专家和合作伙伴既是知识的创造者，又是知识的接受者，通过新产品和服务创造价值。然而，即使这一信念得到普遍认同，并且越来越多地得到认同，“如何支持这些网络变得更有效”的问题仍然是非常开放的，并且是相当多争论的主题。我们提出的研究目标是开发方法和工具来分析和增强知识工作者协作的数据集，我们的假设是，通过这样做，我们可以有效地提高他们的生产力。这些方法和工具将通过与我们的合作伙伴组织的案例研究进行验证：一个企业研发（R&D）组织（戴尔计算机内部）和两个加拿大研究网络（AGE-WELL和GlycoNET NCEs）。我们将演示我们的工具如何提高创新生产力，并帮助动员我们的合作伙伴的工作产品，以采用和创造价值。我们的目标是：理解、支持和改进端到端流程(a)将合适的个人聚集在一起，(b)合作并贡献他们互补的专业知识，以及(c)利用支持流程和实践，通过产品和服务的创新创造价值。在企业研发机构中，我们的研究结果将使更多的人参与到创新过程中，并将提高开发和披露想法的数量、质量和速度。在NCEs中，我们的研究结果将促进我们对有效的知识动员、转化和价值创造的操作参数的理解，并改善研究网络的监测、报告、评估、问责制和透明度。

Knowledge workers comprise a large proportion of the workforce today working in the context of large-scale expert networks, spanning across different disciplines and organizations. They rely on software technologies for their discipline-specific activities and for their coordination and their communication with each other. This type of networked, interdisciplinary knowledge work is motivated by a belief that the complex problems of our time can only be effectively addressed through broad collaborations of experts and partners who act both as knowledge generators and receptors to create value through new products and services. However, even as this belief is generally, and increasingly shared, the question of "how these networks can be supported to become more effective" is still very much open and the subject of considerable debate. The goal of our proposed research is to develop methods and tools for analyzing and enhancing the data sets through which knowledge workers collaborate, our hypothesis being that, by doing so, we can effectively amplify their productivity. These methods and tools will be validated through case studies with our partner organizations: an enterprise research and development (R&D) organization (within Dell Computers) and two Canadian research networks (the AGE-WELL and GlycoNET NCEs). We will demonstrate how our tools can enhance innovation productivity and help mobilize the work products of our partners towards adoption and value creation. Our goal is to: understand, support and improve the end-to-end process of (a) bringing the right individuals together, (b) collaborating and contributing their complementary expertise, and (c) making use of supporting processes and practices to create value through innovation in products and services. Within enterprise R&D organizations, our results will enable more people to be involved in the innovation process and will increase the number, quality and pace of ideas developed and disclosed. Within NCEs, our results will advance our understanding of the operating parameters of effective knowledge mobilization, translation and value creation and improve monitoring, reporting, evaluating, accountability and transparency in research networks.