CUSP London Seminar: Dani Arribas-Bel

This past Thursday we were really lucky to catch Dani Arribas-Bel, Senior Lecturer in Geographic Data Science at the University of Liverpool and major contributor to PySAL, on his way back home following two weeks’ teaching in the Caribbean. Dani kindly agreed to give a talk in two parts on “Infusing Urban and Regional analysis with Geographic Data Science” (‘GDS’) which we will summarise below… As one of the first CUSP London-branded seminars, it was great to see so many Urban Informatics staff and students there (and even a few from UCL’s CASA!) Continue reading

Understanding Gentrification through ML

Although it has taken rather a long time to see the light of day, our just-published paper is one of the reasons I love my job: drawing on a mix of data science and deep geographical knowledge, we look at the role that new Machine Learning (ML) techniques – normally seen as just a ‘black box’ for making predictions – can play in helping us to develop a deeper understanding of gentrification and neighbourhood change. For those of a ‘TL;DR’ nature (or without the privilege of an institutional subscription!), we wanted to share some of our key ideas in a more accessible format. Continue reading