This document discusses integrating risk perception findings into spatial and temporal risk models for Hanta virus in Germany. It describes an experiment between modelers and social scientists to better understand Hanta virus risk. The modelers develop risk models to explain Hanta virus distribution, while social scientists study risk perceptions. By combining their work, they aim to improve risk communication and governance. The document provides examples of how risk perception findings, such as awareness of risk factors or desire for clearer risk level information, could inform model development and outputs to make them more relevant and useful to public health practitioners and the public. It emphasizes that models need to consider broader social dimensions to address complex public health risks.