Federico Botta
@fedebotta.bsky.social
Senior lecturer in data science at Exeter Computer Science. Fellow at Alan Turing Institute. Works on computational social science, spatial data science, urban analytics, data for policy.
Reposted by Federico Botta
The Focus Issue on Urban Mobility and Green Transportation in Sustainable Cities is open for submissions. Visit the webpage for submission guidelines and to view published papers: iopscience.iop.org/collections/...
IOPscience - Focus Issue on Urban Mobility and Green Transportation in Sustainable CitiesSearch
iopscience.iop.org
February 27, 2025 at 9:46 AM
The Focus Issue on Urban Mobility and Green Transportation in Sustainable Cities is open for submissions. Visit the webpage for submission guidelines and to view published papers: iopscience.iop.org/collections/...
Amazing list Manlio, thanks for putting together! Would be great to be added :)
November 14, 2024 at 10:34 AM
Amazing list Manlio, thanks for putting together! Would be great to be added :)
Reposted by Federico Botta
Let’s start with our chairs! @fedebotta.bsky.social
is a Senior Lecturer in Data Science @uniofexeter.bsky.social
and a Turing fellow. His research aims to provide a deeper understanding of human behavior, both at the collective and individual levels, by utilizing novel data streams.
is a Senior Lecturer in Data Science @uniofexeter.bsky.social
and a Turing fellow. His research aims to provide a deeper understanding of human behavior, both at the collective and individual levels, by utilizing novel data streams.
February 14, 2024 at 3:18 PM
Let’s start with our chairs! @fedebotta.bsky.social
is a Senior Lecturer in Data Science @uniofexeter.bsky.social
and a Turing fellow. His research aims to provide a deeper understanding of human behavior, both at the collective and individual levels, by utilizing novel data streams.
is a Senior Lecturer in Data Science @uniofexeter.bsky.social
and a Turing fellow. His research aims to provide a deeper understanding of human behavior, both at the collective and individual levels, by utilizing novel data streams.