2025 Agenda

This research presents a breakthrough in predicting and dynamically managing human performance in air traffic control through AI-driven models from real-time EEG and psychometric analysis. By redefining demand metrics beyond traditional flow or volume measures, we uncover how task complexity, workload, cognitive fatigue, and situational awareness interact within a socio-technical system. The findings underpin Synapses—an AI-powered predictive model—and STORMS, a next-generation operational resource management (ORM) tool designed for real-time performance adaptation and dynamic sectorisation. This study bridges neuroscience and AI to enhance system resilience, opening the door to dynamic human performance control in high-stakes environments.