Abstract for: Computational Modeling Framework for Multi-level Systems w Feedback, Uncertainty, and Heterogeneity—Case in Point: Concussion

We propose a computational model framework to address multilevel phenomena with complex feedback structures, high uncertainty/variability and considerable heterogeneity at the individual level as well as lower in the system hierarchy, e.g. at molecular and cellular levels. Although researchers often use hybrid models to address these different aspects, we propose a framework based on differential equations and Monte Carlo methods. The paper begins by describing the case that motivated framework development—recovery from concussion. Status of the project is a complex causal loop diagram. We review the process of developing this diagram as well as the literature on multiscale modeling and other potentially relevant methods. We describe the proposed framework and provide a mockup of what the results of using the framework might look like. This is a progress report, not a finished product.