EAGER: SSDIM: Ensembles of Interdependent Critical Infrastructure Networks

需要表示和分析社会耦合的相互依赖的基础设施网络构成了重大的科学和技术挑战。一个核心挑战是缺乏真实的数据集来代表网络、它们之间的相互作用以及与消费者的连接点。这个探索性研究（EAGER）项目的早期概念资助将开发这种耦合系统的集成，以及评估数据质量和有效性的方法。耦合电力和通信网络的集成将为算法开发提供真实的数据。在该项目下开发的工具和技术也将传播给对复杂网络的科学和工程感兴趣的更广泛的分析人员和研究人员。这项工作将为学术界和其他感兴趣的社区提供独特的开放获取的现实数据集。该项目将开发数学技术和相关算法，用于生成基础设施网络和社会互动的集合。它还将产生验证和验证这些相互依赖的合成种群和网络集成的方法。重点将放在大型、现实的电力和通信网络上。这项工作将导致高度可扩展的、数据驱动的、动态的灵敏度分析、不确定度量化、验证和确认方法。该研究将提供数据，支持描述和评估当今社会基础设施固有脆弱性的新方法。现实网络的综合将有助于研究基础设施之间相互依赖所造成的脆弱性，以及个人与基础设施以及彼此之间相互作用所造成的脆弱性和风险。

The need to represent and analyze socially coupled interdependent infrastructure networks poses significant scientific and technical challenges. A central challenge is the lack of realistic data sets that represent the networks, their interactions, and the points of connection with consumers. This EArly-concept Grant for Exploratory Research (EAGER) project will develop ensembles of such coupled systems, along with methods to assess concerns of data quality and validity. Ensembles of coupled power and communication networks will provide realistic data for algorithm development. The tools and techniques developed under the project will also be disseminated to the broader community of analysts and researchers interested in the science and engineering of complex networks. The work will result in unique open-access realistic data sets for the academic and other interested communities. This project will develop mathematical techniques and associated algorithms for generating ensembles of infrastructure networks and social interactions. It will also yield methods for the validation and verification of these interdependent synthetic populations and network ensembles. A key focus will be on large, realistic power and communication networks. This work will lead to highly scalable, data-driven, dynamic methods for sensitivity analysis, uncertainty quantification, and verification and validation. The research will provide data to support new ways of characterizing and assessing vulnerabilities inherent in today's societal infrastructures. The ensemble of realistic networks will facilitate the study of vulnerabilities resulting from interdependencies among infrastructures as well as from vulnerabilities and risks that result from interaction of individuals with the infrastructure as well with each other.