Team Dynamics, Networks, and Assembly (Team DNA)

团队动力、网络和装配（团队 DNA）

• 批准号: 8802448
• 负责人: Peter John Lamberson
• 金额: $ 35.12万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-15 至 2021-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8802448
• 关键词: Beds; Characteristics; Collaborations; Communication; Computer Simulation; Data; Data Set; Development; Emotional; Failure; Goals; Graph; Internet; Intervention; Linguistics; Measures; Medical; Modeling; Nanotechnology; Online Systems; Output; Performance; Play; Policies; Problem Solving; Process; Production; Productivity; Research; Role; Science; Scientist; Specific qualifier value; Staging; Structure; Testing; Tobacco use; Transdisciplinary Tobacco Research Center; Work; base; complement C2a; computational network modeling; member; nano; network models; premature; prevent; public health relevance; public health research; research study; software development; theories

DESCRIPTION (provided by applicant): Teams play an increasingly dominant role relative to solo scientists in medical practice, medical and public health research, and science more generally. The aim of this research is to understand the characteristics of successful teams, the leading indicators of impending team failure, and potential policies for increasing the productivit of team science and problem solving. To accomplish these aims we will develop a computational model of team dynamics, networks, and assembly parameterized by real world data on team collaboration. Our research will advance the understanding of team science by including the entire process that begins with the assembly of a team, continues through the dynamics of team communication and problem solving, and ends with either the production of team output or the premature dissolution of the team. Unlike previous models in which team networks are specified exogenously using stylized mathematical structures (such as preferential attachment or the Watts-Strogatz small world network model), teams in our model will endogenously self assemble from a pool of potential collaborators. Our model of team assembly will be parameterized by a unique dataset from the NSF supported web platform Nano HUB, which includes the interactions and scientific output of thousands of scientists working in the field of nanotechnology. Moreover, our model will incorporate not only the network structure of communication among team members, but also the quality of those communications. Because we have access to the full log of communications among Nano HUB team members, we will be able to apply measures of communication quality including Linguistic Style Matching (LSM) and Emotional Activation and Sentiment Analysis to parameterize the simulated communications in our computational model. In addition to parameterizing our model with input from real word data on team interactions, we will externally validate the computational model using two additional datasets on team collaboration, one from the Trans disciplinary Tobacco Use Research Center (TTURC) and a second from the web based software development host GitHub. The resulting validated computational model will serve not only as a test of theories of team dynamics, networks, and assembly, but also as a test bed for experimenting with potential policy interventions to encourage the development of successful teams and to prevent or mitigate the damage from team failures.

描述（由申请人提供）：团队在医疗实践，医学和公共卫生研究以及更广泛的科学中相对于单独的科学家发挥着越来越重要的作用。本研究的目的是了解成功团队的特征，即将到来的团队失败的主要指标，以及提高团队科学和解决问题的生产力的潜在政策。为了实现这些目标，我们将开发一个计算模型的团队动力学，网络和装配参数化的真实的世界数据的团队协作。我们的研究将推进团队科学的理解，包括整个过程，开始与一个团队的组装，继续通过团队沟通和解决问题的动态，并与团队输出的生产或团队的过早解散结束。与以前的模型不同，在以前的模型中，团队网络是使用程式化的数学结构（如偏好连接或Watts-Strogatz小世界网络模型）外生地指定的，在我们的模型中，团队将从潜在的合作者池中内生地自我组装。我们的团队组装模型将通过NSF支持的网络平台Nano HUB的独特数据集进行参数化，该数据集包括数千名在纳米技术领域工作的科学家的互动和科学产出。此外，我们的模型将不仅包括团队成员之间的通信网络结构，而且还包括这些通信的质量。由于我们可以访问Nano HUB团队成员之间的完整通信日志，因此我们将能够应用通信质量的测量，包括语言风格匹配（LSM）和情感激活和情感分析，以参数化我们计算模型中的模拟通信。除了使用团队互动的真实的文字数据输入参数化我们的模型外，我们还将使用两个额外的团队协作数据集对计算模型进行外部验证，一个来自跨学科烟草使用研究中心（TTURC），另一个来自基于Web的软件开发主机GitHub。由此产生的验证计算模型将不仅作为团队动力学，网络和装配理论的测试，而且作为一个试验台，用于试验潜在的政策干预，以鼓励成功的团队的发展，并防止或减轻团队失败的损害。