Project Title: State of the art in agent-based modeling of urban crime: Overview, critical questions and next steps
Affiliated Faculty: Elizabeth Groff
Description: Agent-based modelling is a relatively new methodology that facilitates theory-testing and thought experiments when empirical testing is not an option. This typically arises when data are not available or when manipulation of the variables of interest is not ethical or too expensive. This paper conducts a systematic review of the use of agent-based modeling to model urban crime published prior to 2015. Three goals motivate the endeavor — summarize the state of the art, identify areas where we have strong evidence and ascertain gaps that are limiting our ability to create and evaluate models of urban crime. A set of forward-looking suggestions are proposed.