The solution to the above-mentioned problems requires multi-disciplinary research that addresses the topics listed below. Studies of concepts of situation, context, event, goal, intention, action, behavior in the in the context of hybrid interactive human-machine systems Theories of situational awareness Modeling of situations – model acquisition, adaptation and learning Situation specification languages Situation dependent information integration and fusion Situation perception, comprehension, tracking, prediction, adaptation and learning Models of human-machine collaboration, hybrid and shared cognition Situation ontologies Theories of relevance and sharing of situational awareness Cyber-Physical Situation Management Methods of actions planning, collaborative decision support Approaches to spatial and temporal reasoning, reasoning about goals, intentions and actions, and collective reasoning by teams of human and/or machine agents Advancement of situational control theory, including situational feedback, goal assessment and optimization, situational games with nature and adversaries, reflective situational control, and collective situational behavior Metrics and evaluation of performance of hybrid human-machine systems Architectures, systems, platforms and tools for situation awareness and decision support Applications and case studies