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The tutorial focuses on nonlinear model reduction, presenting an overview of the concept and objectives. It emphasizes the diverse aspects of model reduction, particularly in nonlinear dynamical systems, and aims to demonstrate efficient solving methods by utilizing low-dimensional embeddings. These embeddings facilitate faster computations. The speaker plans to provide examples from biological, physical, and engineering sciences to illustrate the model reduction framework's practical applications and motivations.