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.
This blog focuses on Agentic workflow created during the workshop in creating an “IFC Compliance” checking app through different tools like Claude code, Cursor, Github, Gradio, Python and Js. The objective of creating this app was simple and straight to the eye, Create an app that can read the models and replace the conventional method … Read more
Salt is an essential mineral for humans and animals alike. When consumed, it breaks down into sodium and chloride – elements vital to muscle and nerve function, fluid balance, and the regulation of blood pressure and pH levels. Because sodium is lost through sweat, both humans and animals must replenish it to maintain physiological stability; … Read more
Started off in 1504 as a Renaissance-era fortification system, designed to resist cannon warfare. Over the years, it has undergone many reconstructions, with the latest turning it into a managed heritage park in the early 2000s (Planted rows of trees) . Ecology has played an important role in each of its eras, as we’ll see … Read more
In the age of digital urbanism, cities are no longer understood only through streets, buildings, or neighbourhoods—they are interpreted, navigated, and governed through layers of pixels, data points, and algorithmic models. Our visualization project, Cities in Pixels: Mapping, Moving and Meaning in the Digital Era, examines this transformation using Geographic Information Systems (GIS) as its … Read more
Using Street View and Remote Sensing methods to infer ground level socio-economic realities The Challenge: The Urban Data Blind Spot Urban economies are dynamic, fast-evolving systems—but the data used to understand them is often static, delayed, or incomplete. In many cities, a significant share of economic activity unfolds beyond the reach of traditional measurement frameworks, … 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
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
As part of a collaborative exploration into creative automation and human-AI interaction, our team developed an AI-powered weather assistant that integrates live data, generative visuals, and contextual language processing into a single, responsive system. The assistant operates via a Telegram bot and delivers three core outputs: current weather information, clothing recommendations, and an AI-generated image … Read more
A speculative approach to Design through data, literature, and participatory AI in Sant Antoni Our urban issue: The Lack of Narrative-Driven Urban Design in a Data-Driven City Contemporary urban design increasingly relies on AI and big data, often sidelining human stories, cultural narratives, and historical context in shaping urban spaces. While data-driven design optimizes efficiency, … Read more
