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This research focuses on the synthesis of mathematical, computational and non-quantitative models of complex and networked systems to study emergent behaviour and to propose functional solutions to difficult problems.
In facilitating the discovery of answers and solutions to so-called 'hard problems', where mostly complexity science approaches must be followed to find sets of feasible solutions and where multiple causalities might not be the only drivers, systems modelling becomes an enabler to other research areas. At the same time, it focuses research efforts in the appropriate branches of decision under uncertainty and complexity sciences as we understand them today. Research groups include mathematical and computational modelling, complex adaptive and netted systems, systems engineering and socio-technical systems.
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