Collaborative modeling offers a novel methodology that integrates core ideals in the policy sciences. The principles behind collaborative modeling enable policy researchers and decision makers to address interdisciplinarity, complex systems, and public input in the policy process. This approach ideally utilizes system dynamics to enable a multidisciplinary group to explore the relationships in a complex system. We propose that there is a spectrum of possibilities for applying collaborative modeling in the policy arena, ranging from the purely academic through full collaboration among subject matter experts, the general public, and decision makers. Likewise, there is a spectrum of options for invoking collaboration within the policy process. Results from our experiences suggest that participants in a collaborative modeling project develop a deeper level of understanding about the complexity in the policy issue being addressed; increase their agreement about root problems; and gain an appreciation for the uncertainty inherent in data and methods in studying complex systems. We conclude that these attributes of collaborative modeling make it an attractive option for improving the decision-making process as well as on-the-ground decisions.

System dynamics - Complex systems - Collaborative modeling - Public participation - Interdisciplinary