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In this talk, we explore the challenges faced in analyzing time-varying systems with multi-scale dynamics. While traditional methods model these systems using ordinary differential equations (ODE), the direct analysis of such models is often difficult due to poorly measured parameters and numerous variables. To overcome these challenges, we propose a novel approach based on combinatorics and algebraic topology. We move away from classical ODE analysis and towards a more robust, scalable, and computable description of global dynamics in terms of annotated graphs.