USRR 2015 - 3rd International Workshop on Understanding the Inter-play Between Sustainability, Resilience, and Robustness in Networks

Emerging network sciences (interdisciplinary science of networks of networks) aim at discovering/identifying, formalizing/representing and analyzing common processes and phenomena underlying physical, chemical, biological, communication, social and cognitive networks. The fundamental objective of this emerging interdisciplinary field is to propose predictive models of these processes and phenomena in these networks that are characterized as adaptive, interdependent, unpredictable, nonlinear, and dynamic. From this perspective, a fundamental question arises as how interdependent network systems can be designed to support unpredictable disturbance and unexpected changes when vulnerable to natural disasters, (un)voluntary disruptions, malfunctions, and changes in its usage patterns due to socio-economic or technological changes. The latter changes could also impact operations for system maintenance as operators running an infrastructure might operate differently than system design assumes. For this purpose, a better understanding of the aforementioned properties characterizing interdependent networks requires to first capture the fundamental interplay between sustainability, resilience and robustness.
Workshop Objective:
Technical networks exhibit many inter-dependencies which are complex to measure and model but also lead to multi-objective decision problems where uncertainty becomes the transversal notion to capture. To this end, understanding the fundamental interplay between sustainability, resilience, and robustness becomes essential in order to rejuvenate and/or improve current design and evaluation methods that are currently unable to cope with this fundamental dimension.
Topics:
Authors are invited to submit papers that describe state-of-the-art research, present work-in-progress, or suggest open problems covering one or more of the topics of interest to the workshop:
Case studies including natural disasters, (un)voluntary disruptions, malfunctions, failures, etc. in (inter-dependent) network infrastructure
Data analysis for inter-dependent networks: life stat. distributions, parametric and non-parametric methods, life data classification, competing failure modes analysis, multivariate data analysis
Quantitative methods, mathematical models, criteria and metrics for ecological network analysis
Robust optimization of large-scale (inter-dependent) networks
Robust decision methods for resilient (inter-dependent) networks
Stochastic optimal/adaptive control of energy-aware networks
Formal methods and mathematical models for network resiliency analysis at multiple time and space scale
Energy-aware resilient (inter-dependent) networks
Game theoretic and economic analysis of sustainability-vs-resilience trade-offs
Predictive simulation and uncertainty quantification