IAAC Bits 10 – Learning Cities: Collective Intelligence in Urban Design

How do our cities learn? Can machines design and what?
Is crowd intelligence appropriately harvested in our evolutionary and generative design processes? And has our current big data analysis approach reached the limit of human and computational intelligence?

Learning Cities explores the “intelligence” applied in the processes and outcomes of designing our urban environments. From a variety of applications of artificial intelligence and machine learning for urban planning to co-creation processes that merge crowd intelligence with digital technologies, Learning Cities highlights that “intelligence” in the built environment should be understood beyond human, object or machinic intelligence alone. Through a variety of contributions from experts in different fields the current IAAC Bits Journal Issue explores novel collective intelligence design processes in which designers, users, the built environment, and digital codes all play a fundamental role in a unique resonance that takes place among them. 

With Contributions of Areti Markopoulou, Manuel Gausa, Jordi Vivaldi, Benjamin Bratton, John Frazer, Molly Wright Steenson, Stanislas Chaillou, Sarah Williams, Theodora Vardouli, Neil Leach, Angelos Chronis, José Sánchez, Mathilde Marengo, Aldo Sollazzo, Aleksandra Sojka, Matias del Campo, Chiara Farinea, Rodrigo Delso, Sandra Maninger, Javier Argota, Cobus Bothma and others.