AA VISITING SCHOOL

Shanghai, China, 2016

Every city is unique. Can we computationally learn the urban characteristics and identities of each city and use these ‘learned data’ to collectively generate new ones? The Deep Urbanism Unit of the AA Visiting School 2016, co-taught with Immanuel Koh, used Machine Learning to extract the formal urban structures of various cities in China in order to provide combinatorial data for new generative urban formations.
Additional Documentation

Images: Architectural Association