 This paper proposes a new approach to coupling physical and social models for participatory water resource management. The authors propose using a Tynamite Python package to connect a hydrological model, SWAT+, with a human water system dynamic model. They also developed a socket and JSON based communication protocol to enable the connection between these two models. Finally, they used this protocol to connect the hydrological model SWAT+, to a human water system dynamic model. This approach allows for the detection of potential impacts of policymakers' decisions on water resources. This article was authored by Jay Z. Harms, J. J. Maladatum, J. J. Maladatum, and others.