Michael Szell is researcher with an interdisciplinary background in mathematics, computer science, and physics. His research goal is the quantitative understanding of collective behavior and the underlying patterns of our interlinked actions and decisions, by mining and modeling large-scale data sets of human activities.
His special focus is on understanding human behavior online and in cities. In particular he is known for his work on mobility, multiplex networks and social dynamics from the players of his massive multiplayer online game Pardus.
He previously held a research position at MIT's Senseable City Lab studying urban mobility and taxi sharing, and at Northeastern University's Center for Complex Network Research.
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