Urban Grammar AI
We know little about how the way we organise cities over space influences social, economic and environmental outcomes, in part because it is hard to measure.
Satellite imagery, combined with cutting-edge AI, can provide a source of data to track the evolution of the built environment at unprecedented detail.
This project develops a conceptual framework to characterise urban structure through the notions of spatial signatures and urban grammar, and will deploy it to generate open data products and insight about the evolution of cities.
01 October - First Advisory Board
On October 1st. 2020, Dani and Martin held the first meeting of the Advisory Board for the project. We are thrilled to have a board that includes Alistair Edwardes, Rachel Franklin, Isabel Sargent and Antonio Miguel Vieira Monteiro.
The meeting took place, as it’s become customary in 2020, on Zoom. Dani provided an overview of the main components of the project, and Martin updated on progress so far; throughout the three hours of the meeting, there was plenty of discussion and great questions about what the project is trying to do and how it’ll tackle its main challenges. This is by no means a full replacement of the physical meeting we would have had in Liverpool for a full day, but it was an excellent way to connect and kickstart the role of the Advisory Board.
One of the conclusions from the discussion was that we might adapt to the current situation by trying to have these meetings a bit more frequent (initially only four were scheduled for the entire project) and of shorter duration than a full day (maybe up to three hours). This will allow us to focus on specific aspects of the project for every meeting. Next one will hopefully take place early in the next year and, by then, we might even have something in the form of deliverables to show!
01 July - Welcome to Martin Fleischmann
The project is thrilled to welcome Martin Fleischmann as the postdoctoral researcher who will work with me (Dani) for the next two years of the Fellowship. Here is a quick bio of Martin:
Martin Fleischmann is research associate in the Geographic Data Science Lab at the University of Liverpool and a member of the Urban Design Studies Unit at the University of Strathclyde. His research focuses on urban morphology and geographic data science focusing on quantitative analysis and classification of urban form, remote sensing and AI.
He is the author of momepy, the open source urban morphology measuring toolkit for Python and member of development teams of GeoPandas, the open source Python package for geographic data and PySAL, the Python library for spatial analysis.
Martin brings with him a theoretical background in urban morphology combined with a lot of experience in Python open source development around geospatial. There could not be a better combination for the project. As the postdoctoral researcher, Martin will be heavily involved in the implementation of much of the code required to develop the idea of Spatial Signatures, teach a computer to recognise them from satellite imagery, and use them to develop an Urban Grammar. At the same time, he is also joining the Geographic Data Science Lab and getting involved in its day to day life, participating in internal seminars, coordinating the Brown Bags series and, more generally, chipping in where possible to make the lab a great place to be part of.
Welcome Martin, this will be a fun ride!
15 April - Firing up the engines
This is the first post going out form the Urban Grammar project. We will use this blog to keep track of progress on the project and to announce milestones we are reaching along the way. If you are interested in cities, satellites and AI, keep an eye on the blog and feel free to get in touch with either Dani or Martin!