Complex systems

Many data-driven systems are complex, in the sense that they exhibit interactions and behaviours that are very sensitive to their initial or environmental conditions. IDIR researchers are exploring how to build models of complex phenomena, combining techniques from network science, sensing, and machine learning, and trying to identify the next generation of approaches that can cope with large volumes, velocities, and variabilities of data.


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