The Master in City & Technology’s academic structure is based on IAAC’s innovative, learn-by-doing and design-through-research methodology which focuses on the development of interdisciplinary skills. During the Master in City & Technology students will have the opportunity to be part of a highly international group, including faculty members, researchers, and lecturers, in which they are encouraged to develop collective decision-making processes and materialize their project ideas.
Safety Perception in Jakarta Why Simulate Perception in Urban Spaces? In the realm of smart city design and urban analytics, one of the most nuanced yet underexplored datasets is perceived safety. This perception isn’t easily quantifiable, yet it critically influences how public spaces are used, trusted, or avoided. Traditional surveys are the go-to method for … Read more
Project Introduction Urban environments are constantly evolving, shaped by the movement of people, the flow of traffic, and the presence of infrastructure. Yet, understanding these patterns at the street level — especially across an entire neighborhood — can be difficult, time-consuming, and highly subjective. In this project, we present a computer vision–based visual audit of … Read more
As part of our ongoing analysis of Quito’s public transportation, we approximated an analysis of the on-the-ground perspective of traveling through the city on the public buses and then analyzed the attributes of different bus stops through machine learning. We began by creating a trajectory that would be a plausible representation of how a woman … Read more
Abstract Building upon the knowledge acquired in the Agent-Based Design & Machine Learning course, we developed a bot designed to collect data from the population of Rundu, the city we are focusing on for our project within the Vulnerability Studio: Computer-Aided Mobility Justice. We face the challenge of accessing qualitative insights that could help us … Read more
