Session 14: Hybrid Quantitative Modeling
11:15 AM – 12:30 PM | Room Michigamme (Lower level)
Hybrid Quantitative Modeling Approaches with Application to Health and Safety
Philippe J. Giabbanelli, Magda Baniukiewicz, Venkata Sai Sriram Pillutla, and Rama Flarsheim
Northern Illinois University
Many real-world problems can be decomposed in terms of entities or scale, which allows the capture of the different components using the most relevant modeling techniques. For example, a population health problem can be seen as individuals whose decision-making is modeled as a fuzzy cognitive map, while their interactions are captured by an agent-based model. In 2013, we introduced such a hybrid modeling framework and applied it to three published case studies. This demonstration introduces participants to quantitative hybrid models and shows how to apply them in health and urban systems, using our framework as guiding example.