Collaborative Research: AccelNet: Accelerating Discovery in Multilevel Network Science

1927418(福图纳托)1927425(维斯皮尼亚尼)。人类生活在一个联系日益紧密的世界里。而且，捕捉交通、贸易、健康和通信连接的网络上的数据也越来越多。这些数据为科学家提供了一个解决一些最大的社会问题的机会，如传染病、假新闻、自然灾害、网络攻击和医疗保健。然而，网络科学的进步依赖于改进的数学和理论方法，以适当地模拟具有多个相互依赖的网络层的复杂系统。为了解决这一问题，AccelNet-Multinet旨在连接国际专业知识，并为美国和欧洲在多层次、多层网络领域的联合科学发现提供正式的基础设施。这一网络将产生新的方法和模型来应对社会挑战和下一代网络科学领袖。这个AccelNet项目的科学议程集中在网络科学的两个有前途的领域：(1)理论和方法，特别是时间性，嵌入到向量空间中，信息丰富，反应-扩散过程；(2)应用，包括表征和建模社会多元化，多层和多组学生物网络分析，生物威胁期间的弹性管理。AccelNet-Multinet？S培训和协作工具套件的一个主要特点是密集的研究员计划。这40名研究生和博士后研究人员将参加向更大的科学界开放的为期一年的网络研讨会系列活动、年度大型协作解决问题活动(ColLabathons)和为期一学期的沉浸式交流计划。此外，国际领导人会议将使合作伙伴和其他专家汇聚一堂，为多层、多层次网络领域的未来制定议程。这些将产生未来方向研究报告，概述该领域的研究重点、战略和共同的教育愿景。将开发国际传播能力培训工具包，帮助学者培养成功的跨文化、跨国家合作的基本技能。将通过网上门户网站公开提供材料，包括培训工具包、社区编写的报告、出版物、网络研讨会讲座和共享数据集。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重大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。

1927418 (Fortunato) 1927425 (Vespignani). Humans live in an increasingly connected world. And data on networks that capture connections of transportation, trade, health, and communication are increasingly available. These data offer scientists a chance to tackle some of society's greatest problems, such as infectious disease, fake news, natural disasters, cyber-attacks, and health care. However, advances in network science rely on improved mathematical and theoretical approaches to properly model complex systems with multiple, interdependent network layers. To address this, AccelNet-MultiNet aims to link international expertise and provide formal infrastructure for joint US-Europe scientific discovery in the field of multilevel, multilayer networks. This network of networks will result in new methods and models to address societal challenges and the next generation of networks science leaders.The scientific agenda of this AccelNet project focuses on two promising areas in network science: (1) theory and methodology, specifically temporality, embeddings in vector space, information-richness, reaction-diffusion processes; and (2) applications, including characterizing and modeling the societal multiplex, multilayer and multi-omics biological network analysis, resilience management during biological threats. A key feature of AccelNet-MultiNet?s suite of training and collaboration tools will be an intensive Fellows program. These 40 graduate students and postdoctoral researchers will participate in a year-long webinar series open to the larger scientific community, annual large-scale collaborative problem-solving activities (Collabathons), and a semester-long immersive exchange program. In addition, international leader meetings will bring together partners and additional experts to set the agenda for the future of the multilayer, multilevel networks field. These will result in Future Directions Research reports outlining research priorities, strategies, and shared educational vision in the field. An International Communication Competency training toolkit will be developed to help scholars build basic skills for successful cross-cultural, cross-national collaborations. Materials will be made publicly available through a web-based portal, including the training toolkit, community-developed reports, publications, webinar talks, and shared data sets. 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.