Abstract for: Translating a Collaborator-Designed Causal Loop Diagram to Support Campus Decision-Making on Alcohol-Involved Sexual Violence

Alcohol-involved sexual violence remains a persistent challenge on college campuses. Addressing this complex issue requires coordinated, multilevel interventions. The CAMPUS study used a collaborative model building process with students and staff to develop a causal loop diagram (CLD) that maps the interrelated drivers of alcohol-involved sexual violence and identifies leverage points for change. We are translating the collaboratively developed CLD into two complementary simulation models: a stock-and-flow model and an agent-based model. These models aim to explore how different combinations of individual-, interpersonal-, and campus-level interventions and policies may interact to mitigate alcohol-involved sexual violence. The models are being designed to serve as interactive decision support tools for campus stakeholders. Our campus collaborators identified 23 unique causal loops, which we are in the process of incorporating into both of our simulation models. To capture collaborators’ insights, our models will reflect realistic campus settings, including nuances such as weekday versus weekend drinking patterns and typical social contexts for alcohol use. Once initial models are complete and parameterized, we will simulate the impact of both existing campus programs and collaborator-proposed novel interventions. This work-in-progress session will invite feedback on the structure, assumptions, and practical use of both models. We seek input on model components, calibration needs, and opportunities for integrating simulation outputs into decision-making processes on campuses. Our goal is to ensure the models are robust, credible, and useful tools to guide multisectoral action and policy decisions around campus sexual violence prevention.