Abstract: The spread of disinformation poses a significant societal risk, particularly when it can disrupt critical infrastructure. We model this process using a coupled network framework, where disinformation propagates on an information layer that interacts with an underlying physical network, allowing failures in the former to impact the latter. A central modeling challenge is capturing the dynamics of disinformation spread. We introduce an adaptive diffusion model that incorporates history-dependent effects, such as cumulative exposure and adaptive susceptibility, not captured by standard approaches. In this model, influence, susceptibility, and belief co-evolve as coupled dynamical variables, providing a more realistic approach for analyzing disinformation spread and its cross-layer impacts. About Speaker: Alice Nanyanzi is a Ph.D. candidate at the School of Industrial and Systems Engineering. She earned her M.S. degrees in Mathematics and Mathematical Sciences from Stellenbosch University and the University of Cape Town in South Africa, and her B.S. degree in Computer Engineering from Busitema University in Uganda. Her research focuses on modeling the impact of disinformation on critical infrastructure. She has presented her work at INFORMS Annual Meetings and currently serves as president of the INFORMS OU student chapter.