This research designs the Eris model, a novel, agent-based computational model that can aid researchers in answering questions regarding the explanation and prediction of identity-based conflict and genocide. At its most fundamental level, this work draws on complexity theory and research from the domain of computational social science in order to determine the most effective approach. Recent models of civil violence and violence around the issue of identity have taken advantage of advances in computing power to model both theoretical and highly realistic scenarios, validating on real-world events in some cases, and providing ``artificial worlds'' in which to perform scenario analysis. The Eris model implements a novel combination of micro-level social psychology theories of behavior and motivation, and macro-level political science theories of the causes of genocide. While a highly generalized model, Eris can be calibrated to match high-level conditions in different scenarios, contributing to the field by achieving empirical validation across cases.