Empirical modeling is a research approach that involves developing models based on empirical data and observations. Researchers collect and analyze data to identify patterns, relationships, and trends, which are then used to create models that can help predict future outcomes or understand complex systems. Empirical modeling is often used in fields such as statistics, economics, biology, and social sciences to make evidence-based decisions and inform policy-making. This approach relies on the idea that real-world data can provide valuable insights and practical solutions to problems.