Bio
Dani Arribas-Bel is interested in computers, cities, and data. He is Professor in Geographic Data Science at the the University of Liverpool, and Deputy Programme Director for Urban Analytics at the Alan Turing Institute, where he was also ESRC Fellow from 2020 to 2023. Prior to arriving at Liverpool in 2015, Dani held positions at the University of Birmingham (UK), the VU University in Amsterdam (Netherlands), Arizona State University (US), and Universidad de Zaragoza (Spain). He holds honorary positions at the University of Chicago's Center for Spatial Data Science, and the Center for Open Geographical Science of San Diego State University.
Dani's research combines modern computation with new forms of data to shed light on the spatial structure(s) of cities. His research is published in journals such as PLOS ONE, Demography, Geographical Analysis, or Environment and Planning (A/B/C). Together with Serge Rey and Levi Wolf, he is the author of "Geographic Data Science with Python", published by CRC Press in 2023. Dani currently serves as co-editor of the journal "Environment and Planning B - Urban Analytics & City Science”, where he co-founded the Urban Data/Code section.
Research interests
Dani is interested in how data science and AI can help us better understand cities and their evolution. His main research integrates new forms of data and methods with traditional spatial analysis and modelling to create representations of the spatial structure of cities. At the Turing, he is focused on using AI and machine learning to leverage satellite imagery, creating high-resolution descriptions of cities that can be updated as new streams of images become available.
