There is a paucity in the use of simulation for theory development in the context of the social amplification of risk. Simulation modeling has the advantage of making a theory more precise and including relevant factors within broader boundaries (e.g. the use of multiple actors). This paper demonstrates how an agent-based simulation model can be developed to generate or test a theory in the context of the social amplification of risk. The challenges on model’s calibration and validation are highlighted.