Modeling and Simulation of Complex Systems

Modeling and simulation of complex systems involve creating digital representations of real-world processes—like weather, traffic, or economies—to understand and forecast their behavior. Modeling involves building detailed descriptions based on data and theories, while simulation runs these models over time to observe potential outcomes. This approach helps identify patterns, make predictions, and inform decision-making without immediately impacting the real system. It combines mathematics, computer science, and domain knowledge to analyze intricacies and interactions within complex systems efficiently and safely.