Model-based research refers to a method of scientific inquiry that involves creating theoretical models or simulations to explain and predict phenomena. In this approach, researchers develop mathematical or computational models based on existing data or theoretical frameworks, which are then used to test hypotheses, make predictions, or understand complex systems. Model-based research is commonly used in fields such as physics, biology, economics, and psychology to gain insights into the underlying mechanisms of natural and social phenomena. This approach allows scientists to explore and understand complex systems in a controlled and systematic manner, ultimately leading to new discoveries and advancements in various fields of study.