Computational models are mathematical representations used to simulate real-world systems or processes. They help researchers and scientists understand complex phenomena by breaking them down into simpler components. These models can be implemented using computer algorithms, allowing for analysis and predictions based on various input parameters. These models are widely used in fields such as biology, economics, and engineering. For example, a computational model in climate science can simulate weather patterns to predict future climate changes. By adjusting different variables, researchers can explore potential outcomes and make informed decisions based on the results.