Collaborative: VOSS: Understanding and enabling network dynamics in virtual communities

要解决最关键的智力和社会问题，团队需要由尽可能好的人组成，并与尽可能好的资源相联系。虽然人们越来越多地意识到团队合作的社会经济后果，但对团队是如何组建的，或者给定的组装模式如何影响其有效性，社会技术方面的理解很少。这个项目试图通过开发一个理论框架来解决这一限制，以了解塑造虚拟社区中团队集合的社会技术动态。这些多维网络包括各种链接，这些链接不仅存在于个人之间，还存在于文档、数据集、工作流、分析工具和概念之间。考虑到这些新的配置，这个项目解决了两个主要的研究问题：第一，解释团队在虚拟社区中聚集的社会技术动机是什么？第二，团队的集结机制在多大程度上影响其有效性？对这类模型进行经验性测试会带来巨大的数据收集挑战。然而，这个项目可以接触到服务于不同科学虚拟社区的六个主要倡议，包括纳米科学、环境工程、地震工程、化学科学、媒体研究和烟草研究。智力优势：这一努力具有独特的地位，可以引入新一代理论和方法，专注于解释所有合作的重要先驱--用于在虚拟社区中产生有效团队的社会技术组装机制。在方法上，该项目将显著扩展网络分析技术，用于对高维多模式网络进行统计建模。更广泛的影响：拟议的研究将对三个利益攸关方社区产生广泛影响。首先，个人研究人员，特别是学生和那些不在精英机构的人将学习在虚拟社区中组建有效团队的策略。其次，虚拟社区的领导者将获得一个仪表盘，以评估和指导他们的计划中的战略。第三，资助机构将在评估其投资组合和指导科学政策方面获得新的见解。

To solve the most critical intellectual and social problems, teams need to be made up of the best possible people, linked to the best possible resources. While there is growing awareness of the socio-economic consequences of team collaborations, there is little socio-technical understanding of how teams are assembled or how a given mode of assembly impacts its effectiveness. This project seeks to address this limitation by developing a theoretical framework to understand the socio-technical dynamics shaping the assembly of teams in virtual communities. These multidimensional networks include a variety of links that exist not only among individuals, but also with documents, datasets, workflows, analytic tools, and concepts. With these new configurations in mind, this project addresses two main research questions: First, what are the socio-technical motivations that explain the assembly of teams in virtual communities? Second, to what extent do the assembly mechanisms of teams influence their effectiveness? Empirically testing such models poses formidable data collection challenges. However, this project has access to six major initiatives serving diverse scientific virtual communities including nanoscience, environmental engineering, earthquake engineering, chemical sciences, media research and tobacco research.Intellectual merit: This effort is uniquely positioned to usher a new generation of theories and methods focused on explaining an important precursor to all collaborations - the socio-technical assembly mechanisms used to generate effective teams in virtual communities. Methodologically, this project will significantly extend network analytic techniques for statistically modeling high-dimensionality multimodal networks. Broader impacts: The proposed research will have broad impacts on three stakeholder communities. First, individual researchers, especially students and those not in elite institutions will learn strategies to assemble effective teams in virtual communities. Second, leaders of virtual communities will gain a dashboard to assess and steer strategies within their initiatives. Third, funding agencies will get new insights in assessing their portfolios and directing science policy.