Projects of City Interaction lab

Using fast-style-transfer neural networks techniques we generate and transfer images from cities, using images from forest and other green and blue areas. The project was largely inspired by BeForest project.

The project is one of the projects of City Interaction lab in Paris

https://medium.com/@liubovbauer/style-transfer-for-augmented-city-21b1e36cc40b

We also are working on the github repository (to be opened very soon).

After seminal work by B.Hillier et al. on space syntax, still many open questions remain:
How can we change the space syntax of streets with planting more trees?
Can we visit some cities during lock down through experiencing streets topology and space syntax?

Can we actually derive the real space syntax rule from the observation (empirical data), similar to what has been done by Chomsky to language with generative grammar? Or are there any universal rules of space syntax?

• October 25th 2020 Vera in the city project update:
  during epidemics city interactions are changing and are evolving, we decided to design offline city sensors for measure and collect average city feedback, as if it would be people coming to you on the street and discussing.
  Open subscription to online workshop
  https://iclei.us5.list-manage.com/track/click?u=a3a47048051ae2f2024de7834&id=5c73ca7f85&e=44a7d135c4
  

• November 9th 2020 Vera in the city project update
  Open discussions with Chetan Kumar (CRI) and Maastricht University discussion group on building offline city sensors.
  Check more here for events.
  

• Documentation of the city and city main perspectives.

When we live in the city, we evolve with the city. We help city to change, when we are adding even some small elements, such as some words on a banch in the park, some small graffity in the entrance of the house. This process was documented for USSR from 1989 till 1995. The original of the book is shown in atelier.