Background Entity resolution (ER) is the process of identifying and linking records that refer
to the same real-world entity. ER is a fundamental challenge in data science, and a common …

Understanding, analyzing, and predicting human mobility and dynamics are valuable to
solving pressing problems, develo** effective plans, and prescribing timely remedies. As …

Analyzing household energy behaviors from a spatial perspective is crucial for both
policymakers and network operators. However, conducting spatial analysis at a fine scale …

The ability to generate artificial human movement patterns while meeting location and time
constraints is an important problem in the security community, particularly as it enables the …

Lessons from recent global earthquakes underscore the persistent high risk of seismic
casualties. Despite considerable attention to earthquake casualty risk assessment (ECRA) …

High-fidelity pattern of life (PoL) models require realistic origin points for predictive trip
modeling. This paper develops and demonstrates a reproducible method using open data to …

Human mobility influences our society and vice versa. During the COVID-19 pandemic, non-
pharmaceutical intervention that alters activity-based mobility such as work-from-home …

Human mobility insights guide domain experts in an array of decisions, including critical
infrastructure design, disaster response, epidemic modeling, national security, and policy …

Index-based measures of social vulnerability to environmental hazards are commonly
modeled from composites of population-level risk factors. These models overlook individual …

Understanding human security and social equity issues within human systems requires
large-scale models of population dynamics that simulate high-fidelity representations of …