Systems theory offers a powerful lens to focus on the interdependence of communication processes, but quantitative scholars have traditionally studied individuals as independent units. This blind spot likely causes us to miss important aspects of many processes, such as information flows and belief adoption. Our working group will consider ways to study interdependence, feedback loops, and emergent properties of systems. This includes agent-based modeling—an approach that uses computational “agents'' to explore how emergent properties can arise from different interaction rules. We will brainstorm ways to combine empirical and theoretical work with these methods. Our goals are 1) to identify theoretical and empirical contexts where agent-based modeling or other systems approaches would be fruitful and 2) to initialize novel research projects that quantitatively study communication processes using systems theory approaches.