There is a growing demand for technologies like semi-autonomous unmanned craft (drones) to augment human capabilities for infrastructure inspection, disaster management, and search and rescue operations. To realize their potential, such technologies must integrate seamlessly into teams of multiple people interacting with multiple drones. Effective collaboration between people and semi-autonomous drones requires team members to be aware of surroundings, the placement and activity of other team members, anticipating what may happen next, assessing potential risks and hazards. In short, team members must be able to accurately perceive the situation in order to make informed decision about actions --- so-called situational awareness. This project aims to understand team situational awareness and develop computer-implemented tools that support real-time team situational awareness for tasks that involve both people and semi-autonomous drones. By fostering a comprehensive understanding of team dynamics, the project will significantly benefit practitioners by enhancing team collaboration and coordination, thereby improving efficiency and safety. The project will address education and workforce development by collaborating with government, industry, and community stakeholders to create new course modules, K-12 workshops, public safety training programs, and initiatives promoting broad participation, This project will develop an integrated framework to understand, predict, and sup