Using data to understand and describe the city.
RxD, ASRO, KU Leuven
Check out my work here
Cities are technological artifacts, the largest technology we make. Their impact is out of proportion to the number of humans living in them.
In the network society, the space of flows dissolves time by disordering the sequence of events and making them simultaneous in the communication networks, thus installing society in structural ephemerality: being cancels becoming.
There is no way to understand cities well without using the skills and insights of a large variety of disciplines: geography, economics, psychology, sociology, law, anthropology, political science, geology, ecology, and the humanities.
Spatial modelling is a process with a circle of induction and deduction. The inductive process results in a theory generated by sufficient amount of empirical data (statistical data), while the deductive process can be understood as a test to the theory that in return adds complexity to the theory.
Unfold a street map.. place a glass, rim down any where on the map, draw around it’s edge. Pick up the map, go out into the city and walk the circle, keeping as close as you can to the curve. Record the experience as you go, in what ever medium you favour: film, photograph, manuscript, tape. Catch the textural run-off of the streets; the graffiti, the branded litter, the snatches of conversation. Cut for sign. Log the data-stream. Be alert to the happenstance of metaphors, watch for visual rhymes, coincidences, analogies, family resemblances, the changing moods of the street. Complete the circle, and the record ends. Walking makes for content: footage for footage.