Conference: Scientific Collaboration Network Evaluation and Strategy Using Graph Analysis

科学网络是美国国家科学基金会(NSF)AccelNet计划的核心，其目标是加快科学发现的进程，并为多团队、跨学科、国际合作的下一代美国研究人员做好准备。在这种情况下，网络不仅是一个比喻，而且还可以是一个可量化的研究对象，可以记录、分析、评估和采取行动。为此，该项目将为参与的AccelNet团队提供一个由三部分组成的密集研讨会系列，以：1)了解如何从社交网络分析和网络科学的角度看待他们与增加协作相关的目标；2)获得收集和管理与其项目相关的网络数据的技能和经验；以及3)分析和可视化他们的数据，以便对他们的AccelNet网络做出明智的决策，为他们的项目的战略和评估提供信息。在这三个按顺序进行的虚拟研讨会中，将向每个团队展示已发表的科学合作研究的实例(以及研究人员参与的两个AccelNet团队的正在进行的案例研究：GLASSnet和AccelNet-Multinet)，并将向每个团队介绍如何通过现有来源(如文献计量数据库或行政记录)和/或通过新来源(如网络调查或观察)收集自己的数据。将向学员提供收集和分析数据的详细工作流程和范例脚本，并在每次讲习班结束后提供技术支持和办公时间，以完成他们的工作。该项目还将传播评估模板，AccelNet团队可利用该模板建立基线图表，并通过使用共同方法更新和监测其网络，评估和报告其网络随时间的增长和发展情况。研讨会将被记录下来，材料将被存档并在会议结束时向公众开放。通过国际网络对网络合作加速研究(AccelNet)计划旨在加快科学发现的进程，并为多团队国际合作培养下一代美国研究人员。AccelNet计划支持美国研究网络和海外互补网络之间的战略联系，这些网络将利用研究和教育资源来应对需要大量国际协调努力的重大科学挑战。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Scientific networks are at the heart of the National Science Foundation’s (NSF) AccelNet program and its goals to accelerate the process of scientific discovery and to prepare the next generation of U.S. researchers for multi-team, interdisciplinary, international collaborations. Networks in this case are not just a metaphor but can also be a quantifiable object of study that can be documented, analyzed, evaluated, and acted upon. To that end, this project will offer an intensive three-part workshop series for participating AccelNet Teams to: 1) learn how their goals related to increasing collaboration can be thought of in the terms of social network analysis and network science, 2) gain the skills and experience to collect and curate network data related to their project; and 3) analyze and visualize their data to make informed decisions about their AccelNet network to inform their project’s strategy and assessment. In these three virtual workshops, intended to be taken in sequence, each team will be shown examples of published scientific collaboration studies (and ongoing case studies of two AccelNet Teams the investigators are involved in: GLASSNET and AccelNet-MultiNet) and will be introduced to ways they can collect their own data through existing sources (like bibliometric databases or administrative records) and/or through new sources (such as network surveys or observation). Participants will be given detailed workflows and example scripts for collecting and analyzing data and provided technical support and office hours after each workshop to complete their work. The project will also disseminate an assessment template that the AccelNet teams can utilize to establish baseline graphs and to assess and report the growth and development of their networks over time by updating and monitoring their networks using a common approach. Workshops will be recorded, and materials archived and open for public use at the conclusion.The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.