Program Sessions

Day 1 - December 5, 2018

SESSION A

Session A1: I Depend on You. You depend on Me?
Session Chair: Wenjuan Sun (wes316@lehigh.edu)
Mason Liaison: Weiwen Zhou (wzhou5@masonlive.gmu.edu)
Room: 308

Exploiting Interdependencies between Computing and Electrical Power Infrastructures to Maximize Resilience and Flexibility
A. Chien, J. Birge, V. Zavala, B. Lesieutre, L. Roald
We seek to reduce critical risks and identify synergies from the growing interdependence of Cloud Computing and Power Grid infrastructures. Research topics include coupling abstractions, effective incentive structures, and hyperscale cloud power flexibility. Understanding synergies and risks will enable better design, layout, and management; improving resilience and efficiency of both infrastructures.

Probabilistic Resilience Assessment of Interdependent Systems: the PRAISys Platform
P. Bocchini, B. Davison, A-M Esnard, A. Lamadrid, D. Mitsova-Boneva, A. Sapat, R. Sause, L. Snyder, W. Sun
The PRAISys team is developing a simulator of short- and long-term effects of a natural disaster on a region, its residents, and its infrastructure systems. The PRAISys computational platform models transportation, communication, power networks, and the community. Mechanistic interdependencies models and uncertainty quantification are emphasized.

Game Theory and Learning for Secure Smart City Infrastructure
W. Saad, A. Ferdowsi, D. Yao, N. Mandayam, A. Glass, A. Sarwat
The large-scale deployment of smart cities is contingent upon providing effective security and resilience to its critical infrastructure.  We are developing new theoretical frameworks, founded on principles from game theory, control theory, and machine learning, that allow securing interdependent smart city infrastructure, with emphasis on smart grids, communication systems, and transportation networks.

Understanding Both the Resilience Benefits and the Risks of Interconnections between Power, Natural Gas and Communication Networks
P. Hines, I. Dobson, A. Glasmeir, E. Modiano, K. Turitsyn
The energy sector relies on reliable electricity and natural gas infrastructure systems. Restoring these systems requires reliable communication networks, which depend on reliable energy supply. We discuss ways to understand both benefits and risks of interdependence. We discuss new risk analysis algorithms to address computational barriers to understanding interdependence and identify new strategies for maximizing the benefits of interdependence, while also mitigating risks. 

Network Modeling and Analysis for Economic Resilient Planning for Interdependent Critical Infrastructures
L. Huang, J. Chen, Q. Zhu, R. Zimmerman, K. Ozbay, N. Memon
Critical infrastructures become increasingly diverse and connected. To understand fundamental interdependencies and enable recovery from disruptive disturbances within an acceptable amount of time and cost, we develop an automated, scalable network model to investigate the tradeoff between heterogeneous measures and the tradeoff between pre/post-event measures. Case studies are provided. 

Identification and Control of Uncertain, Highly Interdependent Processes Involving Humans with Applications to Resilient Emergency Health Response
M. Sznaier, A. Abur, P. Boynton, O. Camps, L. Barrett, J. Griffin, J. Hajjar, S. Marsella, E. Yeh
This research aims at designing and operating resilient interdependent cyber-physical-human systems subject to extreme events. This talk covers key aspects of the framework including: (a) A Markov Decision Process model of people’s evacuation behavior (b) Conditions for interdependent networks to be robust under random failures. (c) Network topology optimization, taking into account predicted demand for services (d) Scalable interdependencies identification.

Water-Transportation Geo-spatial Interdependence and Criticality Analysis
N. Abdel-Mottaleb, Q. Zhang, P. Ghasemi Saghand, H. Charkhgard, S. Uddin, Q. Lu, S. Mohebbi
This study investigated the impact of geospatial interdependence between water and transportation infrastructures on the criticality analysis of water distribution systems. A logical interaction network was constructed and multi-objective optimization was used to solve for the critical components. Results suggest that a threshold exists for the interdependency to be taken into consideration.

Session A2: Our Peeps
Session Chair: Cheng Zhang (czhang@tamu.edu)
Mason Liaison: Wenjie Li (wli21@masonlive.gmu.edu)
Room: 310

Project ICoR: Modeling Interactions in Community Resilience
S. El-Tawil, V. Kamat, A. Prakash, S. Spence, C. Menassa, J. McCormick
A new framework, based on distributed computing concepts, is proposed to model the physical, social, and economic interactions that occur during disasters. The framework is versatile and scalable and enables the developed system to grow through contributions by other users. The new concepts are demonstrated through a case study.

Organizing Decentralized Resilience in Critical Interdependent-infrastructure Systems and Processes (ORDER-CRISP)
P. Mozumder, O. Abdul-Aziz, N. Halim, S. Hasan, C. Kuhlman, A. Marathe, S. Meng, J. Santos, A. Vullikanti
By integrating risk-based analyses, agent-based simulations and socioeconomic impacts of inoperability, the ORDER-CRISP will build an ensemble approach in modeling interdependent-infrastructure failures and human-infrastructures interactions. With coevolving nature of vulnerability, an app (RCROWD) will facilitate complementary pathways of resilience by information sharing and resource pooling as a cascade proofing mechanism.

Can Residential Community Resources Keep the Lights on When the Grid Goes Down? A Social-Technical Model Says Yes We Can!
J. Abreu, C-F Chen, A. Mammoli
We modeled a typical suburban residential community of 1000 houses, electrically connected to water treatment, hospital and supermarket. We developed statistical models of energy service use based on results of focus groups, interviews and surveys. Using simulation, we show that the community can redistribute energy resources to maintain critical services.

Towards a Human-Centered Framework for the Assessment and Enhancement of Coastal Resilience
L. Rhode-Barbarigos, A. Buckvic, S. Chao, W. Zuo, W. Saad
We focus on assessing and enhancing coastal resilience through the characterization and correlation of urban design and socio-economic aspects of coastal communities with the damage tolerance of the infrastructure and built environment, as well as the development of secure communication and computation platforms, novel simulation techniques and models.

An Integrated Socio-Technical Modeling Framework to Evaluate and Enhance Resiliency in Islanded Communities (ERIC)
J. González, M. Ghandehari, E. Harmsen, A. Reddy
Our CRISP Type 2 project aims to develop a data driven modeling framework for understanding the complex physical and social vulnerabilities, and interdependencies that result in near total failure of the physical systems in Islanded Communities. We use the recreation of Hurricane Maria in Puerto Rico as case study.

Anatomy of Coupled Human-Infrastructure Systems Resilience to Urban Flooding: Integrated Assessment of Social, Institutional, and Physical Networks
A. Mostafavi, P. Berke, A. Vedlitz
This study investigates transforming understanding of network dynamics of coupled human-infrastructure systems to increase resilience to urban flooding. We examine the relationships among stakeholders' social networks, networks of plans, and physical networks, as three fundamental networks underlying infrastructure interdependencies and resilience planning.

Session A3: We Gotta Talk about Data!
Session Chair: Elisabeth Krueger (Elisabeth.Krueger@UFZ.de)
Mason Liaison: Sohrab Mamdoohi (smamdooh@masonlive.gmu.edu)
Room: 311

Identifying Actionable Information on Social Media for Emergency Dispatch
J. Ramirez-Marquez, C. Caragea, J. Kropczynski
Crisis informatics researchers have taken great interest in methods to identify information relevant to crisis events posted by digital bystanders on social media. This work codifies the information needs of emergency dispatchers and first responders as a method to identify actionable information on social media.

Accelerating Restoration through Information-Sharing: Understanding Operator Behavior for Improved Management of Interdependent Infrastructure
A. Reilly, M. Kenney, M. Gerst
Restoration delays of critical infrastructure may be created when sectors are interdependent and their operators, potentially lacking knowledge of other systems’ conditions and restoration plans, mutually wait for others to act. This project compares the effectiveness of a variety of interventions, including information sharing, in reducing these restoration times.

Leveraging Geo-tagged Tweets to Identify Population-Infrastructure Hotspots in Response to Disasters
G. Chi, X. Li, M. Hu
It has been a challenge to effectively integrate social sciences and engineering in response to disasters. One of our findings is that geo-tagged tweets can be useful for identifying population- infrastructure hotspots during and after disasters. We also recommend strategies for addressing social inequity issues and the representativeness of Twitter data.

Modeling Framework and Data Integration for Assessment and Monitoring of Interdependent Critical Infrastructure Systems
I. Tien
Two main advances will be discussed: 1) Methodology to integrate data from multiple sources to estimate disaster and failure events, including data from physical and social sensors. 2) New probabilistic framework for computationally efficient modeling of interdependent infrastructures, providing exact inference results and considering performance from component to system levels.

Data Exploration for an Agent Based Model of Adaptation to Transportation and Power Disruptions
P. Murray-Tuite, K. Wernstedt, E. Fox, P. Chandrasekar, S. Guikema, E. Hajhashemi
A preliminary agent based model of adaptation to transportation disruptions from Hurricane Sandy identified data gaps. To address these, 1,300 Miamians were surveyed about Hurricane Irma experiences, travel times and cell phone location data were obtained, and Tweets and other location-based data were collected.

Critical Transitions in the Resilience and Recovery of Interdependent Social and Physical Networks
S. Ukkusuri, L. Seibeneck, S. Lee, S. Sundaram, T. Yabe, H. Gehlot, B-J Kuenanz, B. Benedict
This project seeks an understanding of the underlying factors that lead to the resilience and recovery of communities after disasters. We have made progress on multiple dimensions including survey and interview data collection from residents impacted by Hurricanes Sandy and Harvey, characterizing optimal infrastructure repair policies, and analysis of population recovery dynamics using mobile phone data.

Resilience Analytics: Data-Driven Exploration of Infrastructure and Community Resilience
K. Barker, A. Tapia, J. Lambert, C. Zobel, J. Ramirez-Marquez, L. McLay, C. Nicholson, C. Caragea, J. Kropczynski
This project explores the interdependence among (i) physical infrastructure networks, (ii) community networks that require those physical networks, and (iii) service networks that are engaged after a disruption. We discuss the development of interdependent infrastructure networks, particularly with vulnerable communities in mind, and insights from community-driven social media that motivate how interdependent networks should be engaged during restoration.

Session A4: Power Up!
Session Chair: Tingting Zhao (tingtingzhao@mail.usf.edu)
Mason Liaison: David Prentiss (dprentis@masonlive.gmu.edu)
Room: 313

Creating an "Energy Sponge" with Cloud Electric Vehicle Sharing
D. Zhao, Y. Hua, X. Li, X. Wang, E. Tjernstroem, K. Liu, F. Ju, J. Wang.
This study proposes a new concept of 'energy sponge' service by designing an EV sharing system serving both a transportation system and a power market. The model investigates operations of EVs that may opt to serve the transportation system when the transportation demand is high or return electricity to the grid when the power price shoots high.

Lessons Learned From 30 Years of Attacks against the Colombian Power Grid
A. Cardenas, J. Holmes, R. Baldick
In the last five decades, Colombia has suffered one of the longest periods of sustained internal conflict; during this conflict, most of Colombia’s critical infrastructures have been systematically targeted. We summarize the experiences, and lessons learned from our study of the security challenges to the grid.

Natural Gas Production, Electricity, and Water Infrastructures- Economic, Environmental and Agricultural Impacts in the Texas-Mexico Border Region
D. Allen, E. McDonald-Buller, P. Navratil, M. Webber
Production of natural gas and natural gas co-products is increasing dramatically in the United States, impacting integrated US fuel distribution, electrical generation, and water supply infrastructures. This project is assessing the resiliency of the multiple integrated systems to natural perturbations and trade policy scenarios affecting water and energy markets.

Joint Electricity and Natural Gas Transmission Planning with Endogenous Market Feedbacks
R. Bent, S. Blumsack, P. Hentenryck, C, Sanchez, M. Shahriari
We present a Combined Electricity and Gas Expansion (CEGE) planning model, which minimizes the cost of meeting gas and electricity demand during high-stress conditions and introduces a new formulation for endogenous determination of gas-price volatility caused by congestion. The formulation considers advances in convex approximations. We illustrate the model on a new public-domain gas-electric test system.

A Case for Open Access Smart Grids
M. Rodriguez-Martinez, E. O'Neill, M. Perez, W. Rivera, F. Andrade, A. Irizarry, C. Ortiz, R. Rodriguez, E. Lugo
We present a novel smart grid concept called Open Access Smart Grids (OASIS). In OASIS, we developed an integrated framework that models the smart grid as a collection of interdependent electric and cloud services. These services can be dynamically combined to establish service dependencies between energy producers and consumers.

Economic Mechanisms for Grid Resilience against Extreme Events and Natural Gas Disruptions
D. Kirschen, C. Prete, L. Pozzo, B. Zhang
There exists no framework for selecting resilience-enhancing measures that provide the greatest benefit without distorting competition in electricity markets. Our objective is to quantify the need for resilience in an electrical system that heavily relies on natural gas as fuel, and examine economic mechanisms to incent efficient resilience investments.

Unit Commitment with Gas Network Awareness
G. Byeon and P. Hentenryck
This talk introduces the UC problem with Gas Price Awareness (UCGPA), which schedules aset of generating units for the following day while taking account the physical and economic feedback from the associated natural gas system. It proposes a computational approach to the UCGPA that combines Benders decomposition and disjunctive cuts, and exploits the special structure of the pricing constraints.

SESSION B

Session B1: Thirsty?
Session Chair: Matthews Wakhungu (mwakhungu@mail.usf.edu)
Mason Liaison: Weiwen Zhou (wzhou5@masonlive.gmu.edu)
Room: 308

Urban Water Supply Security, Resilience and Sustainability: Integrated Framework and Systems Dynamics Modeling
E. Krueger, P. Rao
We developed and empirically tested an integrated framework for quantifying urban water security, resilience and sustainability, which result from the co-evolution of infrastructure and institutions. Comparative assessment of contrasting global cities reveals convergence towards three archetype categories of security and resilience. However, sustainability of urban water systems is highly variable.

Water and Health Infrastructure Resilience and Learning (WHIRL)
S. McElmurry, M. Seeger, J. Gibson, N. Love, K. O’Donovan, J. Sobeck, P. Kilgore, R. Smith, B. Kerkez
Systems have become increasingly complex and decoupled, increasing vulnerability to disruptions. WHIRL aims to characterize how these interdependent systems interact and adapt to and learn from risks associated with water system-based disruptions to enhance resiliency.

Integrated Design of Urban Centralized and Decentralized Water Systems for Sustainability and Resiliency
W. Mo, K. Gardner, J-C Huang, B. Dilkina, Z. Lu
A modeling framework to capture, analyze, and project the possible outcomes of the integration of centralized and decentralized water systems was developed, and applied to two major metropolitan areas, Boston and Atlanta. Preliminary results obtained from the applications of the framework will be presented.

Defining and Optimizing Societal Objectives for the Earthquake Risk Management of Critical Infrastructure
J. Kendra, R. Davidson, B. Ewing, L. Nozick, K. Starbird
Critical infrastructure systems are vital to the economy, national security, and public health, and therefore must be designed, managed, and operated so they function reliably and efficiently even in the case of an extreme event. We define societal objectives for infrastructure system performance in earthquakes and develop a method to comprehensively optimize a broad range of risk management strategies to meet them.

Interdependent Water Infrastructure in a Potable Reuse System
D. Gerrity, R. Ray, E. Marti, S. Ahmad, H. Stephen, E. Dickenson, K. Papp
This research employs a systems-level approach to characterize the interdependence and resilience of flood control, wastewater, and drinking water infrastructure in southern Nevada in the context of potable reuse. This research will also characterize the water quality, public health, and policy implications of unsheltered homeless encampments.

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Session B2: Health and Wealth
Session Chair: Chris Klinkhamer (cklinkha@purdue.edu)
Mason Liaison: Bahar Shahverdi (bshahver@masonlive.gmu.edu)
Room: 310

Physical and Financial Infrastructure: Analysis of the Integrated System under Extreme Events
L. Tomaselli, A. Mincaa, B. Sinopoli, M. Pozzi
We analyze the coupled response of the financial and physical infrastructure to extreme events. By modeling the integrated system as a directed graph, we identify the optimal risk-sharing mechanism among financial agents that minimizes some metrics assessing the loss for the communities exposed to these events.

Design and Control of Coordinated Green and Gray Water Infrastructure to Improve Resiliency in Chemical and Agricultural Sectors
J. Sabo, T. Sinha, M. Lapinski, M. Hanemann, T. Pavlic, D. Boscovic, G. Low, R. Salla
Modeling, data, and decision-support tools for blending gray and green water infrastructure do not exist. This project will advance a hydrological modeling framework that couples gray and green infrastructure systems to minimize the effects of droughts and floods in the chemical and agricultural sectors in Texas by explicitly incorporating socio-economic feedbacks.

Hospital System Disaster Resilience given its Dependence on Interdependent Critical Lifelines
M. Tariverdi, H. Fotouhi, S. Moryadee, E. Miller-Hooks
A multi-stage stochastic, mixed integer program is presented for quantifying and maximizing the resilience of a health care system subject to multiple probabilistic hazard events. The model accounts for the system’s dependency on a set of interdependent societal lifelines, including water and power distribution, which are themselves subject to failure.

An Integrated Simulation Framework for Examining Resiliency in Pharmaceutical Supply Chains Considering Human Behaviors
J. Griffin, R. Doroudi, R. Azghandi, Z. Feric, O. Mohaddesi, P. Sequeira, Y. Sun, O. Ergun, C. Harteveld, D. Kaeli, S. Marsella
The epidemic of drug shortages causes challenges across critical healthcare infrastructures and demonstrates a lack of resiliency within drug supply chains. We present an integrated simulation framework for instantiating, testing, and improving supply chains when accounting for human components behaviors. We demonstrate the applicability of our methods through several experiments.

Functional Topological Convergence of Infrastructure Networks in Global Cities
C. Klinkhamer, P. Rao
Our analysis of 125 infrastructure networks (roads, drainage, water supply) in 52 diverse global cities showed that all dual-mapped graphs converge to a single, Pareto node-degree distribution, because of co-evolution driven by similar generative mechanisms. This has major implications for multiplex network failure cascades, and for resilience of urban communities.

Session B3: We are in Control
Session Chair: Prasad Vindhyawasini (vindhyp@clemson.edu)
Mason Liaison: Hossein Fotouhi (hfotouhi@masonlive.gmu.edu)
Room: 311

Modeling and Adaptive Control of Interdependent Infrastructure Systems
Momeni, V. Prasad, K. Piratla, H. Dharmawardena, K. Venayagamoorthy, J. Ligato, F. Switzer, I. Safro
This presentation outlines the modeling and co-simulation of interdependencies among Water, Power and Gas (PWG) infrastructures in small time-steps using infrastructure data from Charleston, SC. It also highlights the initial results from cognitive task analyses and hierarchical mappings of various levels of organizations and among utilities and their operators.

Optimization and Control of the Restoration Strategies Across Interdependent Networks
S. Alemzadeh, H. Talebiyan, M. Mesbahi, L. Duenas-Osorio
We focus on finding the optimal restoration strategies for disrupted interdependent infrastructure networks by solving Interdependent Network Design Problem (INDP) for centralized and distributed scenarios. The performance is improved by pursuing a data-driven control approach characterizing a linear approximation of recovery dynamics that obtains optimal strategies based on Linear Quadratic (LQ) control.

Real-time Control of Stormwater Infrastructure for Urban Flood Mitigation
J. Goodall, J. Sadler, M. Behl
Stormwater infrastructure systems are almost always passive systems dependent on gravity. In many urban communities, these systems are failing to prevent flooding due to more frequently reoccurring intense rainfall events. We will show how more active, real-time control of stormwater infrastructure, or smart stormwater, can help mitigate flood risk.

An Approximate Dynamic Programming Approach to Community Recovery Assessment
S. Nozhati, B. Ellingwood, H. Mahmoud, Y. Sarkale, E. Chong, N. Rosenheim
Methodologies that support the management of recovery of interdependent large-scale civil infrastructure systems in the aftermath of disruptive natural hazard events must be able to handle difficult control problems with large combinatorial decision spaces. This study utilizes approximate dynamic programming algorithms for the identification of optimal community recovery actions following the occurrence of an extreme earthquake event.

On Quantifying Resilience
R. Nateghi, B. Rachunok
We present a framework for quantifying multivariate resilience and illustrate its use as a predictive tool to assess various resilience investment strategies. We intend to leverage this framework in our CRISP project to assess the benefits of distributedly controlled assets to minimize cascading failures of interdependent systems under extreme events.

Session B4: The Climate She is A-Changin’
Session Chair: Yuki Miura (ym2540@columbia.edu)
Mason Liaison: Sohrab Mamdoohi (smamdooh@masonlive.gmu.edu)
Room: 313

Sea Level Rise in the San Francisco Bay Area: the Policy Pathways to Adaptation
F. Vantaggiato, M. Lubell
During summer 2018, we carried out a survey of stakeholders working on sea level rise in the San Francisco Bay Area (n=722). Respondents put forward various combinations of policy solutions which they would prioritize in responding to sea level rise. These combinations correspond to respondents’ different roles and positions in the governance network resulting from their collaborative initiatives.

Metrics for Use in Quantifying the Combined Resilience of the Electric Power and Water Distribution Systems
V. Vittal, S. Zuloaga, L. Mays, P. Khatavkar
This presentation highlights novel performance metrics for assessing the resilience of the electric power and water distribution systems subjected to high impact, low probability events such as long-term droughts or wide spread power outages. These resilience metrics are calculated using quantities easily obtained from long-term, time-domain simulations.

Emergent Properties in Parametric Life Cycle Assessment
D. Lee, V. Thomas
We evaluate economic and environmental life cycle trade-offs of medium-duty electric trucks in comparison with non-electric technologies. The models explain more than 90% of the variability in life cycle inventory and impact assessment results, revealing “how” and “why” the tradeoffs change with different input conditions.

Effects of Climate Change on the Planning and Expansion of SERC's Power Plant Fleet
Y. Cheng, M. Craig, F. Fonseca, P. Jaramillo, A. Loew, B. Nijssen, N. Voisin, John Yearsley
The U.S. power sector faces several vulnerabilities related to climate change. On the demand side, climate change may affect electricity demand patterns. On the supply side, increased air and water temperatures, and reduced water flows could lead to deratings of thermos-electric power plants. In this study we evaluate these climate-induced risks in the SERC territory.

Protecting Coastal Infrastructure in a Changing Climate by Integrating Optimization Modeling and Stakeholder Observations
Y. Miura, H. Qureshi, J. Li, C. Ryoo, P. Dinenis, A. Israel, G. Deodatis, D. Bienstock, H. Lazrus, R. Morss, K. Mandli
This project addresses the threat of storm-induced flooding to interdependent critical structures. The proposed methodology, including flooding simulation on GeoClaw and damage cost estimates on GIS, would optimize strategies to maximize their protective abilities over time and space constrained by budgetary considerations and stakeholder’s observations.

POSTERS (Multipurpose Room – behind partition)

  1. 1441131/1441226/1440852 RIPS Type 2 Collaborative Research: Water and Electricity Infrastructure in the Southeast (WEIS) - Approaches to Resilient Interdependent Systems under Climate Change
  2. 1441140 RIPS: Type I: A Meta-Network System Framework for Resilient Analysis and Design of Interdependent Critical Infrastructures
  3. 1441208 RIPS Type 2: Participatory Modeling of Complex Urban Infrastructure Systems (Model Urban SysTems)
  4. 1441224/1722658/1441209 Collaborative Research: RIPS Type 2: Quantifying Disaster Resilience of Critical Infrastructure-based Societal Systems with Emergent Behavior and Dynamic Interdependencies
  5. 1441352/1441188 Collaborative Research: RIPS Type 2: Resilience Simulation for Water, Power & Road Network
  6. 1541025/1541033 CRISP Type 2: Collaborative Research: Simulation-Based Hypothesis Testing of Socio-Technical Community Resilience Using Distributed Optimization and Natural Language Processing
  7. 1541026 CRISP Type 2: Resilient Cyber-Enabled Electric Energy and Water Infrastructures: Modeling and Control under Extreme Mega Drought Scenarios
  8. 1541074 CRISP Type 1: Multi-Scale Modeling Framework for the Assessment and Control of Resilient Interdependent Critical Infrastructure Systems
  9. 1541105/1541069/1541108 CRISP Type 2: Collaborative Research: Towards Resilient Smart Cities
  10. 1541106 CRISP Type 2: Interdependent Electric and Cloud Services for Sustainable, Reliable, and Open Smart Grids
  11. 1541130/1634738/1541136 CRISP Type 1/Collaborative Research: Population-Infrastructure Nexus: A Heterogeneous Flow-based Approach for Responding to Disruptions in Interdependent Infrastructure Systems
  12. 1541148/1541018/1541117/1761471//1541000 Collaborative Research: CRISP Type 2: Revolution through Evolution: A Controls Approach to Improve How Society Interacts with Electricity
  13. 1541164 CRISP: Type 1: Reductionist and Integrative Approaches to Improve the Resiliency of Multi-Scale Interdependent Critical Infrastructure
  14. 1541165/1541155 CRISP Type 2/Collaborative Research: Resilience Analytics: A Data-Driven Approach for Enhanced Interdependent Network Resilience
  15. 1541177/1541089 CRISP Type 2/Collaborative Research: Probabilistic Resilience Assessment of Interdependent Systems (PRAISys)
  16. 1541181/1541056 CRISP Type 2: Collaborative Research: Multi-scale Infrastructure Interactions with Intermittent Disruptions: Coastal Flood Protection, Transportation and Governance Networks
  17. 1541199/1541159 CRISP Type 1/Collaborative Research: Lessons Learned from Decades of Attacks against Critical Interdependent Infrastructures
  18. 1638186 CRISP Type 2: Interdependencies in Community Resilience (ICoR): A Simulation Framework
  19. 1638207/ 1822436/1638197 CRISP Type 2/Collaborative Research: Coordinated, Behaviorally-Aware Recovery for Transportation and Power Disruptions (CBAR-tpd)
  20. 1638234 CRISP Type 2: Identification and Control of Uncertain, Highly Interdependent Processes Involving Humans with Applications to Resilient Emergency Health Response
  21. 1638258 CRISP Type 2: Natural Gas Production, Electricity, and Water Infrastructures- Economic, Environmental and Agricultural Impacts in the Texas-Mexico Border Region
  22. 1638273/1638284/1638224/ 1638346 CRISP Type 2/Collaborative Research: Scalable Decision Model to Achieve Local and Regional Resilience of Interdependent Critical Infrastructure Systems and Communities
  23. 1638301 CRISP Type 2: Integrative Decision Making Framework to Enhance the Resiliency of Interdependent Critical Infrastructures
  24. 1638302 CRISP Type 1: Multi-agent Modeling Framework for Mitigating Distributed Disruptions in Critical Supply Chains
  25. 1638311/1638317 CRISP Type 2/Collaborative Research: Critical Transitions in the Resilience and Recovery of Interdependent Social and Physical Networks
  26. 1638320/1638384 CRISP Type 2/Collaborative Research: Multi-Agent Sustainable Water Decision Theory (MUST): Nexus of Water, Road, and Hierarchic Social Contractual Systems
  27. 1638321 CRISP Type 1: Data-driven Real-time Simulation for Adaptive Control of Interdependent Infrastructure Systems
  28. 1638327/1638230 CRISP Type 1/Collaborative Research: A Computational Approach for Integrated Network Resilience Analysis Under Extreme Events for Financial and Physical Infrastructures
  29. 1638331/1638199 CRISP Type 1/Collaborative Research: Computable Market and System Equilibrium Models for Coupled Infrastructures
  30. 1638334/1638268 CRISP Type 1/Collaborative Research: Sustainable and Resilient Design of Interdependent Water and Energy Systems at the Infrastructure-Human-Resource Nexus
  31. 1638336/1638283 CRISP Type 1/Collaborative Research: A Human-Centered Computational Framework for Urban and Community Design of Resilient Coastal Cities
  32. 1638355/1637772/1800716/1638213/1638348 CRISP Type 2/Collaborative Research: Harnessing Interdependency for Resilience: Creating an "Energy Sponge" with Cloud Electric Vehicle Sharing
  33. 1735483/1735407/1735539/1735499 CRISP Type 2/Collaborative Research: Defining and Optimizing Societal Objectives for the Earthquake Risk Management of Critical Infrastructure
  34. 1735505 CRISP Type 2: Interdependent Network-based Quantification of Infrastructure Resilience (INQUIRE)
  35. 1735513/1735463/1735354 CRISP Type 2/Collaborative Research: Understanding the Benefits and Mitigating the Risks of Interdependence in Critical Infrastructure Systems
  36. 1735579/1735582 CRISP: Type 2/Collaborative Research: Design and Control of Coordinated Green and Gray Water Infrastructure to Improve Resiliency in Chemical and Agricultural Sectors
  37. 1735587 CRISP Type 2: dMIST: Data-driven Management for Interdependent Stormwater and Transportation Systems
  38. 1735609 CRISP Type 1: Protecting Coastal Infrastructure in a Changing Climate by Integrating Optimization Modeling and Stakeholder Observations
  39. 1832230/1832208 CRISP 2.0 Type 2: Collaborative Research: Exploiting Interdependencies Between Computing and Electrical Power Infrastructures to Maximize Resilience and Flexibility
  40. 1832287/1832290 CRISP 2.0 Type 1: Collaborative Research: Economic Mechanisms for Grid Resilience Against Extreme Events and Natural Gas Disruptions
  41. 1832642 CRISP 2.0 Type 1: Accelerating restoration through information-sharing: Understanding operator behavior for improved management of interdependent infrastructure
  42. 1832662 CRISP 2.0 Type 2: Anatomy of Coupled Human-Infrastructure Systems Resilience to Urban Flooding: Integrated Assessment of Social, Institutional, and Physical Networks
  43. 1832678/1832576 CRISP 2.0 Type 2: Collaborative Research: Integrated Socio-Technical Modeling Framework to Evaluate and Enhance Resiliency in Islanded Communities (ERIC)
  44. 1832688/1832711/1832683 CRISP 2.0 Type 1: Collaborative Research: Distributed Edge Computing to Improve Resilience of Interdependent Systems
  45. 1832692/1832591/1832442 CRISP 2.0 Type 2: Collaborative Research: Water and Health Infrastructure Resilience and Learning (WHIRL)
  46. 1832693/1832635/1832587/1832680/1832578 CRISP 2.0 Type 2: Collaborative Research: Organizing Decentralized Resilience in Critical Interdependent-infrastructure Systems and Processes (ORDER-CRISP)
  47. 1832713 CRISP 2.0 Type 1: Interdependent Water Infrastructure in a Potable Reuse System


Day 2 - December 6, 2018


Session C1: Water, Water, Water
Session Chair: P. Suresh Rao (SureshRao@purdue.edu)
Main Note Taker: Wenjuan Sun (wes316@lehigh.edu)
Mason Liaison: David Prentiss (dprentis@masonlive.gmu.edu)
Room: 308

Session C2: Extreme Scenarios & Cross-Hazard Insights
Session Chair: Masoud Ghandehari (masoud@nyu.edu)
Main Note Taker: Mike Gorman (meg3c@virginia.edu)
Mason Liaison: Wenjie Li (wli21@masonlive.gmu.edu)
Room: 310

Session C3: Disadvantaged Populations & Locales
Session Chair: Jess Kropczynski (jess.kropczynski@uc.edu)
Main Note Taker: Francesca Vantaggiato (vantaggiato@ucdavis.edu)
Mason Liaison: Bahar Shahverdi (bshahver@masonlive.gmu.edu)
Room: 311

Session D1: Social, Behavioral & Technical Aspects
Session Chair: Joana Abreu (jabreu@cse.fraunhofer.org) and Andrea Mammoli (mammoli@unm.edu)
Main Note Taker: Xiong Yu (xxy21@case.edu)
Mason Liaison: Sohrab Mamdoohi (smamdooh@masonlive.gmu.edu)
Room: 308

Session D2: Human-Computer Interactions
Session Chair: Majeed Hayat (majeed.hayat@marquette.edu)
Main Note Taker: Hasala Dharmawardena (hdharma@g.clemson.edu)
Mason Liaison: Hossein Fotouhi (hfotouhi@masonlive.gmu.edu)
Room: 310

Session D3: Ethical Dimensions
Session Chair: Marla Perez-Lugo (marla.perez2@upr.edu) & Cecilio Ortiz-Garcia (cecilio.ortiz@upr.edu)
Main Note Taker: Hesam Talebiyan (ht20@rice.edu)
Mason Liaison: Weiwen Zhou (wzhou5@masonlive.gmu.edu)
Room: 311

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