Dani Arribas-Bel

Dani Arribas-Bel is a Professor in Geographic Data Science at the University of Liverpool’s Department of Geography and Planning, where he is director of the Imago Data Service for imagery, part of Smart Data Research UK. Prior to this appointment, he held the positions of Lecturer and Senior Lecturer at the University of Liverpool and the University of Birmingham, as well as a postdoctoral researcher at VU University in Amsterdam and Arizona State University.

His research combines computation and new data to understand how cities function over space and time. He has published widely in journals such as Demography, the Annals of the American Association of Geographers, and Environment and Planning (A/B/C).

He has been a core developer of PySAL, the Python library for spatial analysis, and created the library contextily. He holds honorary positions at the University of Chicago and San Diego State University and contributes to the OECD’s Geospatial Data Lab. He co-edits Environment and Planning B , serves on the editorial boards of several leading spatial analysis journals, and co-hosts the GLaD Podcast.