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Allison C. Reilly

Researcher at University of Maryland, College Park

Publications -  23
Citations -  343

Allison C. Reilly is an academic researcher from University of Maryland, College Park. The author has contributed to research in topics: Environmental science & Computer science. The author has an hindex of 7, co-authored 16 publications receiving 235 citations. Previous affiliations of Allison C. Reilly include Johns Hopkins University & University of Michigan.

Papers
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Predicting Hurricane Power Outages to Support Storm Response Planning

TL;DR: The development of a hurricane power outage prediction model applicable along the full U.S. coastline is described, the use of the model is demonstrated for Hurricane Sandy, and what the impacts of a number of historic storms, including Typhoon Haiyan, would be on current U.s. energy infrastructure are estimated.
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Game theory-based identification of facility use restrictions for the movement of hazardous materials under terrorist threat

TL;DR: In this paper, a three-player game of the interactions among a government agency, a carrier, and a terrorist was developed to guide in making these determinations, and an effective solution procedure for this game and illustrates the use of that procedure on a realistic case study based on the freight rail network.
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Risk and the Five Hard Problems of Cybersecurity.

TL;DR: This perspectives article addresses risk in cyber defense and identifies opportunities to incorporate risk analysis principles into the cybersecurity field and proposes approaches to address these objectives.
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Agent-Based Models as an Integrating Boundary Object for Interdisciplinary Research.

TL;DR: This article offers four requirements for boundary objects that may enhance hazards research and concludes by examining both the value of and the challenges from using agent‐based models as the boundary object in interdisciplinary projects.
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U.S. transportation infrastructure resilience: Influences of insurance, incentives, and public assistance

TL;DR: In this paper, the authors identify barriers to and opportunities for lowering transportation-related disaster losses and for improving infrastructure risk management including the need for better data and metrics to support resilience.