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.
Mapping women+ safety through visibility Introduction Delhi, like many global cities, presents a paradox for women+ navigating its public spaces: a landscape where visibility can feel both protective and precarious. According to the National Crime Records Bureau (2022), over 14,000 crimes against women were reported in Delhi alone. Yet statistics only scratch the surface of … Read more
The installation On the 5th, 6th and 7th of May of 2025, the Parc Agrari del Baix Llobregat hosted a land-art installation where agricultural by-products, recycled materials and the land itself transformed into paths and places to stay. The products Seven types of products [POTS, LAMPS, PAI-PAIS, KITES, CONTAINERS, SEATS & SHADING] where developed with … Read more
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
About This project investigates how colonial patterns of urban design in Footscray have historically shaped and continue to shape the experiences of mobility, vulnerability, and belonging among First Nations people. By tracing the spatial legacies of dispossession and infrastructural violence, the work critically maps how extractive logics have severed Indigenous connections to place. In response, … 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
Context Bogota is the capital of Colombia. Both the perception of unsafety of its inhabitants as well as the amount of urban crime have been rising over the last years, with over 70% of the population feeling unsafe, and more than 120 thousand theft victims in 2023. The local government response to this has mainly … Read more
As the climate crisis intensifies, soil remains one of the most vital yet overlooked components of climate action. The Soil Beneath Us explores how game-based learning can turn soil science into an interactive, emotional, and educational experience. This project proposes a digital platform designed to teach young people about ecosystem restoration, using storytelling, real data, … 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
Governmental and NGO databases have played a key role in shaping our research, providing access to existing data and enabling us to connect it with other spatial platforms. Building on these foundations, our work expands the scope of vulnerability analysis by using satellite imagery to detect emerging informal settlements, while layering in additional environmental and … 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
January 7th marked the beginning of one of the most devastating wildfire events in California’s recent history. A series of fires struck the city of Los Angeles, and within just 24 hours of the first ignition, the city was already facing three major wildfires in Pacific Palisades, Eaton, and Hurst. At that point, two fatalities … 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
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
