IAAC’s Master in AI for Architecture & the Built Environment is a unique program oriented towards leading the change in decarbonising human activities and crafting a more sustainable, resilient future urbanisation for our planet. Through an innovative curriculum deeply rooted in AI applications, the program pioneers novel AI-driven solutions that not only respond to the pressing challenges of our time but also set a new standard for environmentally and socially conscious co-design and planning. The Master in AI for Architecture & the Built Environment is training the professionals that city administrations, governments, industries, and communities need, to transform the built environment in the era of digital technologies.
Urban Safety Perception Among Women and Gender- Diverse People
AI Reveals Hidden Patterns in Crowdsourced Fears The Problem According to the International Survey on Sexual Harassment in Public Spaces (L’Oréal Paris & Ipsos, 2023), 92% of young women in Spain have experienced street harassment. The same research states that this number is 80% globally. And yet, as Gardner puts it in Passing By: Gender … Read more
SURROUND
Turning pollution data into planning decisions. TEAM: Martina Simoni , Rim Choufani, Rashi Desadla, Bhavana Priya B INTRODUCTION Kraków’s air quality problem isn’t abstract. It’s measurable, and it’s bad. Over six sessions, our team (Rim, Martina, Rashi, and Bhavana) used the CRISP-DM framework to ask a focused question: can urban form (building density, road networks, … Read more
Assess Through Perspective
A street-level method for predicting and explaining urban heat from surface composition and configuration
Compl-AI: AI system for predicting building-code compliance in residential construction
Current construction projects lack a reliable early-warning system to predict building-code compliance issues, which leads to delays, rework, safety risks and higher project cost. Traditional inspections usually occur near the end of construction. This makes it difficult to correct issues efficiently and increases the risk of delays and safety concerns. Visual problems such as unsafe … Read more
Flap-alona – butterflies, pollinators and Barcelona’s gardens
Pollinators, bees, butterflies, moths, bumblebees, quietly keep our ecosystems alive. They enable flowering plants to reproduce, sustain wild biodiversity, and support much of our food supply. Yet many of these species are in decline worldwide, threatened by habitat loss, chemical use, urban sprawl and climate change. In cities like Barcelona, where green spaces, gardens, parks … Read more
Nature Based Solutions Location and Analysis for Flood Mitigation
Cloud Based Remote Sensing, Optimization and Agent Based Simulation Floods that were once rare are now happening more often. In Valencia, Spain, a flood expected only once every 500 to 1,000 years has happened three times in the last few decades, with the most recent in October 2024 killing over 230 people and causing €16 … Read more
Urban Vegetation Analysis Using Computer Vision and Deep Learning
(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more
Satellite-Based Assessment of Vegetation Loss in Evia Wildfires
This project focuses on Evia, Greece, where devastating wildfires in the summers of 2021 and 2023 caused massive environmental damage. This is only an example, but this pipeline could be applied to any wild-fire affected area. Our aim is to quantify green loss and monitor post-fire ecosystem recovery. Thus we compare satellite imagery from key … Read more
Flood Impact Mapping along the Turia River, València – Flood of 2024
When torrential rain dumped an entire year’s worth of water on Valencia in barely eight hours on 29 October 2024, the Turia spilled over its banks, submerging citrus groves, highways and whole neighbourhoods. More than 200 lives were lost, hundreds remained missing and Spain faced its worst flood disaster in recent history. Events like this … Read more
Designing, communicating, and programming a user interface: SeisNAV
The first three exercises focused on designing and coding a landing page, visualizing geospatial data on Mapbox, and creating an interactive 3D experience with Three.js, each progressively building skills in design, data integration, and interactivity to address real-world challenges. ⠀ SeisNAV – User interfaces This project involved designing user interfaces for SeisNAV with a focus … Read more
Green Liminals : Dashboard Interface for Feasibility Study | AI-Driven Budget Optimization Tool for Urban Sustainable Solutions
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency.By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and solar catchment systems, evaluated … Read more
SeisNAV
Abstract: Natural disasters, especially earthquakes, often leave roads blocked, buildings collapsed, and maps outdated, making navigation and response efforts highly challenging, That’s where we operate. Our project SeisNAV is an AI-powered platform that combines satellite imagery and computer vision to detect collapsed structures and road blockages, providing real-time mapping and navigation tools for disaster response … Read more
Green Liminals: Feasibility Study for AI-Driven Budget Optimization for Urban Sustainable Solutions
Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency. By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and … Read more
