IAAC’s Master in City & Technology (1 or 2-year program) is a unique program oriented towards redefining the analysis, planning, and design of twenty-first-century cities and beyond. The program offers expertise in the design of digitally enhanced, ecological and human-centered urban environments by intersecting the disciplines of urbanism and data science. Taking place in Barcelona, the capital of urbanism, the Master in City & Technology is training the professionals that city administrations, governments, industries, and communities need, to transform the urban environment in the era of big data.
Quito is located in the north-central part of the Andean region of Ecuador, in south america. Given its high elevation, it is one of the highest capitals in the world. With a population of 1.9M people, it is the second-largest city of Ecuador. It is located in the province of Pichincha in the canton of … Read more
As part of the Responsible AI Hackathon, we explored how to critically assess the ethical and societal implications of artificial intelligence (AI) in urban projects. The workshop introduced tools and frameworks to help participants map, evaluate, and reflect on the risks associated with deploying AI systems in urban environments, emphasizing the importance of responsible and … Read more
Jakarta’s rapid urbanization has outpaced the development of equitable mobility infrastructure, exacerbating safety disparities, particularly for low-income women navigating the city at night. While formal policies fall short, informal transport networks like Angkot fill critical gaps, despite exposing riders to physical and psychological risks. This study explores how machine learning can be used to fill … Read more
Ndama, the fastest-growing informal settlement in Rundu, Namibia, faces critical challenges in water accessibility shaped by gender, age, income, and spatial isolation. With women disproportionately responsible for water collection under unsafe and inequitable conditions, our study combines interviews and spatial data to map intersectional vulnerabilities. We developed an interactive tool that simulates real-world constraints—heat, crime, … Read more
“The Amazon rainforest, often called the ‘lungs of the Earth,’ is rapidly disappearing. But this isn’t just an environmental crisis—it’s a geopolitical and economic issue. In the heart of this transformation lies [Mato Grosso], Brazil’s largest soy-producing state. Its key location fuels both economic growth and ecological destruction, leading to tensions over land use, trade policies, and environmental governance.” … Read more
This research began with one of the most basic human motivation: curiosity. Looking at satellite imagery, we noticed strange, perfect green circles along the desert landscape. What are they? Why are they there? And what do they mean? Along this blogpost, key concepts will be explained , along to the reason of why we choose … Read more
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
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
1. Introduction 1.1. Abstract Autonomous Vehicles are vehicles that employ driver assistance technologies to remove the need for a human operator within the vehicle. These new technologies into automation have been researched in contexts like the United States of America, Middle-Eastern Countries and some European Countries. Planners and architects are designing for these cities including … Read more
Can speculative science fiction ground us in reality? In an age where technology and urbanization shape the contours of our reality, the role of theory as a form of critique becomes ever more crucial. The consequences of centuries of colonization, globalization, and exploitation are evident in our sprawling cities and degraded environments. The 2017 sci-fi … Read more
Skyscrapers are human achievements that require innovation in the extraction of land to tower over its neighbors. The third skyscraper future reflects the past imaginary of Fritz Lang’s, Metropolis. This visualization aims to highlight the economic disparities and labor oppression depicted in the film, contrasting them with the modern logics of rentism as embodied by … Read more
In the realm of speculative urban design, the fusion of cyborg skyscrapers and utopian visions offers a captivating journey into the convergence of reality and imagination. Inspired by Fritz Lang’s timeless sci-fi masterpiece ‘Metropolis,’ I embark on a deep dive into the intricate relationship between design, urbanization, and speculative fiction. Metropolis, Fritz Lang (1927) “Metropolis” … Read more
“Blade Runner 2049” is a good example of how urban landscapes will be shaped differently in response to environmental collapse and societal stress. Designed by communities dominated by fear of losing their stability under an authoritarian social logic, the film features Las Vegas and Los Angeles. Reimagined as part of Bruce Sterling’s, What skyscrapers might … Read more
“Can we understand urban environments and street characteristics from Google Street View panorama images using Machine Learning and Stable Diffusion techniques?” Project OverviewThis computational design project aims to develop a pipeline utilizing Grasshopper and Python to visualize clusters of panoramic streetscape images. The project leverages t-Distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction, facilitating the … Read more
Introduction Urban transportation planning relies on data science to explain the conditions driving mobility patterns. This exploration of bicing, Barcelona’s resident bike rental program, analyzes the actors impacting discrepancies in bicing data to select machine-learning strategies able to predict biking station vacancies across Barcelona for the year 2024 with an accuracy of 0.02387. With this … Read more
