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Characterizing Response to an WMD Event in a Mega-city

Project Overview

Working Plan

Research Results

Project Team

Related Publications

MASON Program


Mason’s Center for Social Complexity has embarked on a project entitled “A Framework for Modeling the Population’s Response to a Nuclear WMD Event.” WMD is the acronym for “weapon of mass destruction,” and “population” in this context is that of a mega-city such as New York City. The grant, funded by DTRA (Defense Threat Response Agency), will use agent-based modeling to project likely behavior of a large population in the days immediately following a nuclear WMD attack.

What Is a WMD?
The Wikipedia definition of a weapon of mass destruction (WMD) is “a nuclear, radiological, chemical, biological or other weapon that can kill and bring significant harm to a large number of humans or cause great damage to human-made structures (e.g., buildings), natural structures (e.g., mountains), or the biosphere.” There is data extant on what specific people have done in very real disaster scenarios in the past. As painful as each of those instances was, the human response information gathered from them is integral to the characterization of human response to disasters of even larger magnitude. The currently available weapons of mass destruction are known, the methods of their delivery are constructed or are at least constructible, and the breadth of their destruction is computable. Because these weapons have not yet been deployed, however, no data is available on how people are likely to respond to their use. To the degree we can anticipate those responses, we can do things that can mitigate the damage, such as more effectively maximizing emergency responder resources and behaviors or designing disaster response educational programs.

Research Goals
The goal of this research is to advance understanding of the behavioral and social effects of a nuclear weapon of mass destruction (WMD) event on a large-city population; in this case New York City will provide the large urban area under study. While the physical effects of such an event have been studied, the social effects — obviously more difficult to predict or to measure — are not well understood. Using agent-based modeling, the team will review, integrate, and exercise theories about how an affected population might react in the first 30 days following a WMD event, including both short term responses (e.g., evacuation/escape) and longer-term needs (e.g., finding water, food, and shelters, and even migrating). The model is not intended to address behavior beyond the immediate 30-day post-event period.

Research Team and Support
The project is under the direction of William G. Kennedy (Principal Investigator/PI, Mason Center for Social Complexity; computational social scientist) and Andrew T. Crooks (Mason Center for Social Complexity, and Mason’s Department of Computational and Data Sciences, College of Science). Two graduate research assistants, Annetta Burger and Talha Oz, are the core of the team. The Center for Social Complexity, under the leadership of Dr. Claudio Cioffi and a unit in Mason’s Krasnow Institute for Advanced Study, will provide facilities and administrative support in coordination with the Office of Sponsored Programs and College of Science.

DTRA Funding and Support
The project, funded for $462,094, started in mid-2016 and will last three years with two additional optional years of funding. The DTRA Program Officer for this project will be Paul S. Tandy, PhD. Dr. Tandy is responsible for The Basic and Applied Research Thrust Area 2: Network Sciences, where the fundamental science of cognitive, information and networks results from the convergence of computer, information, mathematical, network, cognitive and social sciences. This research thrust expands our understanding of physical and social networks and advances knowledge of adversarial intent with respect to the acquisition, proliferation, and potential use of WMD. The methods in this DTRA program may include analytical, computational or numerical, or experimental means to integrate knowledge across disciplines and improve rapid processing of intelligence and dissemination of information.

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