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.
Context This dashboard explores how real‑time tweets about disasters can be read against a global catalogue of events such as droughts, earthquakes, and eruptions between 2010 and 2025. By combining these two layers, the project asks how public, noisy, bottom‑up signals might complement slower institutional data in climate‑driven risk scenarios Framing the question Over the … Read more
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
An Intelligent, Shape-Shifting Sound Control System 01 | Project Abstract Acoustic Skin is an acoustic panel that morphs its surface geometry in real time to control the way sound interacts with the environment. It uses an array of miniature pistons embedded in a felt-covered membrane, behaving like a living, breathing skin that adapts its texture … Read more
This project showed how real-time, intelligent control can transform buildings into more comfortable and efficient spaces. By replacing static systems with adaptive regulation, we can reduce energy waste while creating healthier, more responsive environments for the people who use them. Concept Modern indoor spaces often fall short of providing true comfort and efficiency because they … Read more
This project showed how real-time, intelligent control can transform buildings into more comfortable and efficient spaces. By replacing static systems with adaptive regulation, we can reduce energy waste while creating healthier, more responsive environments for the people who use them. Concept Modern indoor spaces often fall short of providing true comfort and efficiency because they … Read more
01 | Concept 02 | Resonance 03 | Prototype 04 | Components 05 | Circuit diagram If the temperature inside the pavilion is high or the noise level outside is high, both panels will close automatically using the servo motors. Below is how this logic connects to your architecture layers and the circuit design: 06 … Read more
Automating Architectural Visualization: A Journey Through Technical Pivots and AI Evolution Introduction In the rapidly evolving landscape of architectural visualization, the gap between conceptual design and compelling visual presentation remains a significant challenge. While architects and designers excel at creating innovative spaces, transforming these 3D models into cinematic walkthroughs typically requires specialized skills, expensive software, … Read more
Global Problem Buildings account for 40% of global carbon emissions And the majority of these emissions come from operational carbon; a significant component of which is heating, cooling, and lighting. These carbon and financial costs can be reduced by passive design strategies that reduce the need for mechanical heating and cooling, and electrical lighting. Passive … Read more
GG WORLDS: A Blender plugin that enables users to instantly generate and customize 3D environments from text prompts, using generative AI to save time, cost, and boost creative freedom. Physical Prototype: Our prototype demonstrates an interactive workflow where users arrange physical maps and landmarks, then use a tablet AR app to instantly visualize and modify … Read more
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
Abstract: For the class of Interactive Interfaces with professor Daniil Koshelyuk we got introduced to the Unity game engine, a powerful software to create all kinds of 3D applications and environments. For our group, we decided to create an app that would be the continuation of our Research Studio project: Adapt AI. A project where … Read more
Introduction: From Words to Worlds Game design is one of the most creative fields in digital media today but for most developers, turning ideas into immersive worlds remains slow, expensive, and overwhelming. Especially for independent creators, level design, the art of shaping the physical and emotional journey of a player, is often the most demanding … Read more
In contemporary architectural practice, the gap between conceptual design and structural analysis often leads to delays, miscommunication, and inefficient iteration cycles. This project proposes an integrated workflow that bridges this divide by creating an interactive interface where architects can receive real-time structural feedback while scanning their preliminary physical model. By combining Unity-based visualization, QR code-enabled … Read more
This project proposes a structural prediction tool tailored for the early stages of architectural design. Its goal is to provide architects with a structural assistant that offers meaningful insights, enabling them to make more informed decisions and, in turn, support their creative process from the outset. DEMO As part of the course, a website was … Read more
(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
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
