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Sebastiano Papini is a doctoral candidate at the Department of Management, Technology, and Economics at ETH Zurich. His research explores the dynamic interplay between urban economic development and transport networks, with a particular emphasis on the structural evolution of cities during periods of rapid urbanization. He investigates the economic implications of reachability, urban densification, and the spatial distribution of amenities, leveraging innovative data science techniques to develop and analyze unique datasets. Papini's research is characterized by an interdisciplinary approach that combines remote sensing, machine learning, and econometric methods to address complex urban challenges. His contributions span the creation of novel datasets, the application of deep learning to satellite imagery, and the analysis of urban infrastructure and its socio-economic impacts.
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