Dynamic decision making refers to the process of making decisions in complex and changing environments where outcomes are uncertain and consequences evolve over time. This research area focuses on understanding how individuals and organizations make decisions in dynamic settings, and how factors such as time constraints, feedback, and uncertainty can influence decision-making processes and outcomes. Researchers in this area often use experimental methods, computational models, and real-world applications to study how decision makers adapt and learn over time in dynamic environments. Dynamic decision making research has applications in a variety of domains, including finance, healthcare, aviation, and cybersecurity.