Amy N. Rose

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Localized adverse events, including natural hazards, epidemiological events, and human conflict, underscore the criticality of quantifying and mapping current population. Building on the spatial interpolation technique previously developed for high-resolution population distribution data (LandScan Global and LandScan USA), we have constructed an empirically(More)
High resolution population distribution data are vital for successfully addressing critical issues ranging from energy and socio-environmental research to public health to human security. Commonly available population data from Census is constrained both in space and time and does not capture population dynamics as functions of space and time. This imposes(More)
In this paper, we describe our concept for overcoming the data barriers of building credible synthetic populations to assist the transformation between social theories and mathematical models. We specifically developed a 31-million-agent model of Afghanistan's population to demonstrate the ability to computationally control and analytically manipulate a(More)
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