DNActu • Appel | Colloque • Datathink 2024 / AI & Cities: Sampling the Past, Interpreting the Present in Future Tense • 05/02/24

How do algorithmic techniques like deep learning and computer vision challenge or complement existing methods in fields like architecture, urban studies, and architectural and urban history? What new questions and blindspots emerge?
As urban data extraction and analysis grows increasingly automated, how does this transform disciplinary notions of evidence, objectivity, and knowledge production?
How do algorithmic interfaces, predictive policing, and automated urban management systems constrain or enable social justice claims and aspirations in the city?
Speakers:
Keynote: Silvio Carta, University of Greenwich
Julio Paulos, Future Cities Lab Global, ETHZ
Shin Koseki, Université de Montréal
Darío Negueruela del Castillo, Digital Visual Studies, UZH