Description:
Air Traffic Management is simply too complex to address through classical approaches such as system engineering and human factors. In order to change this, complexity science has to be embraced as ATM's 'best friend'. The applicability of complexity science paradigms to the analysis and modelling of future operations is driven by the need to accommodate long-term air traffic growth within an already-saturated ATM infrastructure. Due to its intrinsic value as an exposition of applied complexity science and applied research, Complexity Science in Air Traffic Management also appeals beyond the transport domain.