Workshop on Complexity Science Applied to Coupled Infrastructure Systems; Martha's Vineyard, Massachusetts; July 15-17, 2012

本次研讨会将汇集来自工程，社会科学和数学的优秀学者，探讨基础设施研究的未来。讲习班将把基础设施系统视为大型复杂网络，是传统有形基础设施（道路、电信、水和能源）网络和社交网络的集合体。这种复杂的基础设施网络不仅将被视为学术研究的主题，而且也是每个公民所依赖的国家，地区和大都市经济可行性，生活质量，可持续性和社会正义的基石。该研讨会将持续三天，由专业视听工程师录制，并向整个NSF社区直播。研讨会将探讨：（1）复杂基础设施网络的可持续性和弹性的替代概念;（2）新的建模和计算创新，使大规模复杂基础设施网络的定性和数值研究成为可能;（3）现代社会网络模型与传统网络流模型的整合。如果成功，这项研究将创建数学工具，以帮助工程师更好地设计和运营基础设施网络，例如大都市地区的道路网络或电网。更具体地说，这项研究工作将采用复杂性科学的一个分支“网络科学”的新思想，该科学描述了网络（包括社交网络）随时间的演变。将网络科学应用于真实的物理网络的关键步骤是将设计和评估基础设施的可靠方法与对社交网络的新见解相结合。这种新旧结合使网络用户既是客户，也是有关道路网络或任何基础设施网络状况的信息来源。

This workshop will bring together outstanding scholars from engineering, the social sciences, and mathematics to probe the future of infrastructure research. The workshop will view infrastructure systems as large complex networks that are conglomerates of traditional physical infrastructure (road, telecommunications, water, and energy) networks and social networks. Such complex infrastructure networks will not only be considered as topics of scholarly inquiry but also as cornerstones of national, regional and metropolitan economic viability, quality of life, sustainability, and social justice relied upon by every citizen. The workshop will extend over a three day period, be recorded by professional audio-visual engineers, and streamed live to the entire NSF community. The workshop will explore: (1) alternative notions of sustainability and resilience for complex infrastructure networks; (2) new modeling and computational innovations that make possible the qualitative and numerical study of very large-scale complex infrastructure networks; and (3) integration of modern social network models with traditional network flow models. If successful, this research will create mathematical tools to help engineers better design and operate infrastructure networks, such as the road network or the electric power grid of a metropolitan region. More specifically, this research effort will employ new ideas from a branch of complexity science called "network science", which describes the evolution of networks, including social networks, over time. The critical step in applying network science to real, physical networks is to blend the tried and true methods of designing and evaluating infrastructure, with new insights into social networks. This integration of the old with the new makes network users both clients and sources of information about the status of a road network, or for that matter any infrastructure network.