Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Uncovering the structure of socioeconomic systems and timely estimation of socioeconomic
status are significant for economic development. The understanding of socioeconomic …

Given the rapid recent trend of urbanization, a better understanding of how urban
infrastructure mediates socioeconomic interactions and economic systems is of vital …

We propose a theoretical framework for the study of spreading processes in structured
metapopulations, with heterogeneous agents, subjected to different recurrent mobility …

We develop algorithms to analyze Information and Communication Technologies (ICT) data
in order to estimate individuals' mobility at different spatial scales. Specifically, we apply the …

In many domains we see a proliferation of claims made about how we can predict and
measure the future city, how we make visible its form and shape its settlement. This paper …

Countries and cities around the world have resorted to unprecedented mobility restrictions to
combat COVID-19 transmission. Here we exploit a natural experiment whereby Colombian …

The spatiotemporal propagation patterns of recent infectious diseases, originated as
localized epidemic outbreaks and eventually becoming global pandemics, are highly …

Large-scale human mobility data is a key resource in data-driven policy making and across
many scientific fields. Most recently, mobility data was extensively used during the COVID …

Smart card-automated fare collection systems now routinely record large volumes of data
comprising the origins and destinations of travelers. Processing and analyzing these data …