 This study investigates how detailed data about face-to-face interactions between people can be used to better understand the spread of disease. High-resolution data were collected from a conference including information about the duration and frequency of interactions between participants. This data was then used to simulate the spread of an epidemic using an SIR, susceptible, infectious, recovered model. It was found that the more detailed data provided a better representation of the epidemic than a simplified version which retained only the topology of the contact network. This suggests that detailed data about face-to-face interactions between people is necessary to accurately represent the spread of disease. This article was authored by Regis Karin, Isela Lorenzo, Calisitoria, and others.