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EAGER: SSDIM: Ensembles of Interdependent Critical Infrastructure Networks

EAGER：SSDIM：相互依赖的关键基础设施网络的集合

基本信息

批准号：
1745207
负责人：
Madhav Marathe
金额：
$ 20万
依托单位：
Virginia Polytechnic Institute and State University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2017
资助国家：
美国
起止时间：
2017-09-01 至 2019-04-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1745207&HistoricalAwards=false
关键词：
EAGER SSDIM Ensembles Interdependent Critical

项目摘要

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.

描述和分析社会上相互依赖的社会耦合基础设施网络的需要带来了重大的科学和技术挑战。一个核心挑战是缺乏现实的数据集来表示网络、它们的交互以及与消费者的连接点。这个探索性研究的早期概念资助(AGER)项目将开发这种耦合系统的集合，以及评估数据质量和有效性的方法。耦合的电力和通信网络的集合将为算法开发提供现实的数据。根据该项目开发的工具和技术还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家和研究人员群体。这项工作将为学术界和其他感兴趣的社区产生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，以生成基础设施网络和社会互动的集合。它还将产生用于验证和核实这些相互依赖的合成种群和网络集合的方法。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、用于敏感性分析、不确定性量化以及验证和确认的动态方法。这项研究将提供数据，以支持确定和评估当今社会基础设施固有脆弱性的新方法。现实网络的集合将有助于研究基础设施之间相互依存造成的脆弱性，以及个人与基础设施以及相互之间相互作用产生的脆弱性和风险。

项目成果

期刊论文数量（17）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

SIMULATING RESIDENTIAL ENERGY DEMAND IN URBAN AND RURAL AREAS

DOI：
10.1109/wsc.2018.8632203
发表时间：
2018-12
期刊：
2018 Winter Simulation Conference (WSC)
影响因子：
0
作者：
S. Thorve;S. Swarup;A. Marathe;Youngyun Chungbaek;E. Nordberg;M. Marathe
通讯作者：
S. Thorve;S. Swarup;A. Marathe;Youngyun Chungbaek;E. Nordberg;M. Marathe

Formal Analysis of Segregation of Duties ( SoD ) in Accounting: A Computational Approach

DOI：
10.1111/abac.12190
发表时间：
2020-06
期刊：
Abacus
影响因子：
0
作者：
Rosemary Kim;J. Gangolly;S. Ravi;D. Rosenkrantz
通讯作者：
Rosemary Kim;J. Gangolly;S. Ravi;D. Rosenkrantz

Bounds and Complexity Results for Learning Coalition-Based Interaction Functions in Networked Social Systems

DOI：
10.1609/aaai.v34i04.5710
发表时间：
2020-04
期刊：
影响因子：
0
作者：
Abhijin Adiga;C. Kuhlman;M. Marathe;S. Ravi;D. Rosenkrantz;R. Stearns;A. Vullikanti
通讯作者：
Abhijin Adiga;C. Kuhlman;M. Marathe;S. Ravi;D. Rosenkrantz;R. Stearns;A. Vullikanti