High-resolution human mobility: from face-to-face interactions to the urban scale

Ciro Cattuto

Scientific Director ISI Foundation

I will illustrate the network structures observed in empirical data, reflect on generalization and data incompleteness, and review modeling approaches based on ideas from network science and machine learning. In the second part of the talk I will shift to the scale of an entire city, discussing the opportunities – and limitations – of using call Detail Record (CDR) data from telephone operators to map urban mobility and socio-economic conditions. I will compare traditional data sources, such as census data and origin-destination surveys, with digital proxies for urban mobility, and I will specifically focus on novel perspectives enabled by gender-disaggregated CDR data. I will close with a reflection on the challenges and promises of using privately-held data for the public interest.


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