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Master in AI for Architecture and the Built Environment

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.


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Design & Communication Interfaces _ BAT (Building Analysis Tool) Interface, Designing for the visually impaired, Enhancing Accessibility in Healthcare Architecture

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MaAI 2024-2025

In response to the increasing global population of visually impaired individuals, projected to reach 18.5% by 2050, our project focuses on enhancing the accessibility of architectural spaces, particularly in primary healthcare centers. We have developed the Building Analysis Tool (BAT), an solution designed to assist architects in creating environments that cater to the needs of … Read more

Design Communication & Interfaces: Accesible and Interactive AI Suggestions in Facades, based on Environmental Guidelines

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MaAI-01 2024-2025

The work presented in this blog post explores how UX and UI tools can be used to create a more accesible and interactive platform to this research group’s main project in the Research Studio class. By using tools like Figma and programming in HTML, CSS and JAVA, we try to apply the learnings into AI … Read more

Designing, communicating, and programming a user interface: SeisNAV

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MaAI 2024-2025

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

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MaAI-01 2024-2025

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

AI Suggestions for Facades Based on Environmental Guidelines

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MaAI 2024-2025

Our project tackles the challenges of sustainability, inclusiveness, and aesthetics in the built environment through a platform inspired by the European Bauhaus initiative (NEB). With an annual funding pool of €120 million, this initiative motivates us, as designers, to create environmentally responsible and socially inclusive designs. Our platform bridges the gap between complex NEB guidelines … Read more

SeisNAV

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MaAI-02 2024-2025

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

Building Analisis Tool : Designing for the Visually Impaired – Enhancing Accessibility in Healthcare Architecture

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MaAI 2024-2025

Abstract In response to the increasing global population of visually impaired individuals, projected to reach 18.5% by 2050, our project focuses on enhancing the accessibility of architectural spaces, particularly in primary healthcare centers. We have developed the Building Analysis Tool (BAT), an solution designed to assist architects in creating environments that cater to the needs … Read more

Green Liminals: Feasibility Study for AI-Driven Budget Optimization for Urban Sustainable Solutions

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MaAI-01 2024-2025

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

Intelligent Prototyping Combining Microcontrollers & Robotic Fabrication: Obstacle Detection – Notification System & Clay Pots

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MaAI-01 2024-2025

Microcontrollers This project focuses on creating an automated door system designed to enhance accessibility, particularly in healthcare environments such as hospitals and clinics. Using an ultrasound sensor to detect distance, the system provides auditory guidance and ensures safe and efficient door operation for users, including those with visual impairments. The system is programmed to announce … Read more

Data Driven Emergency Response Planning in Kadıköy, Istanbul

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MaAI-02 2024-2025

Abstract:Emergency response planning is a vital aspect of urban resilience, requiring precise decisions on resource allocation and infrastructure placement. In our research, we explored how data-driven tools can optimize emergency response times using geospatial analysis and computational design methods. Focusing on Kadikoy district in Istanbul, we simulated ambulance routes from stations to emergencies and onwards … Read more

Data Driven Design: Populating & Visualizing Walls for GraphRAG

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MaAI-01 2024-2025

The work presented in this blog post explores how code and visual tools can be used to create and represent the data central to this research group’s main project in the Research Studio. It focuses on integrating data-driven design methods to support sustainable façade development while aligning with environmental guidelines. By emphasizing the creation and … Read more

Green Enough? Assessing Barcelona’s Compliance with EEA Green Space Standards Per Capita Using Geospatial Analysis.

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MaAI 2024-2025

AbstractGreen spaces play a critical role in enhancing urban livability by improving air quality, reducing urban heat island effects, and promoting mental and physical well-being.This project evaluates the spatial distribution of green spaces in Barcelona and their compliance with the European Environment Agency (EEA) standard of 9 m² of green space per person. By overlaying … Read more

Intelligent Prototyping using Robot & Arduino

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MaAI-01 2024-2025
FABRICATED PROTOTYPES & DESIGN ANALYSISIn this project, our group explored the integration of parametric modeling, robotic fabrication, and data-driven analysis to optimize clay-based 3D printing. We began by generating two vase geometries using Grasshopper and subsequently fabricated these designs with an ABB 120 robotic arm extruding clay. Throughout the process, we recorded both visual documentation ... Read more

Integrating Robotics and Microcontrollers in Architecture: From 3D-Printed Clay Pots to Seismic Safety

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MaAI-02 2024-2025

Abstract: In this class on Intelligent Prototyping within the MaAI program, we explored two distinct approaches to prototyping: 3D printing with robotic arms and real-time sensing with microcontrollers. Using parametric modeling tools, specifically Grasshopper, we designed and fabricated a series of 3D-printed clay pots. These included small, medium, and large-scale pots, with a focus on … Read more

Intelligent Prototyping: Robotics and Micro-controllers

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MaAI-01 2024-2025

The work presented in this blog post is an approach combining Robotics and Microcontrollers as preparation for a main Research Studio project focused on sustainable facades and environmental guidelines. This represents our first steps in exploring these fields and their connections with Artificial Intelligence in Architecture and the Built Environment. In the Robotics domain, the … Read more

AI-Driven Inclusive Design: Topology Graph Analysis and NLP for Accessibility Solutions in Architecture

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MaAI 2024-2025

This project focuses on improving the accessibility and inclusivity of hospital environments for visually impaired individuals. Centered on Spain’s Primary Care Centres (CAPs), the initiative addresses critical navigation challenges faced by this community. By leveraging AI-driven tools, including topological graph analysis and semantic segmentation, the project provides architects with actionable insights to design healthcare spaces … Read more

Implementation of CNNs, SOMs and SVMs in post disaster analysis with drones

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MaAI-02 2024-2025

Introduction:The AI Theory class has provided us with comprehensive foundation in artificial intelligence, covering both fundamental principles and advanced methods. Through topics such as clustering, neural networks, evolutionary computing, and decision-making models, the course aims to equip students with the theoretical knowledge and practical insights needed to apply AI across various fields, including disaster management … Read more

Evolutionary Algorithm to Optimize Resource Allocation for Sustainable Solutions  

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MaAI 2024-2025

The problem we are addressing is the critical challenge of resource allocation for sustainable solutions in cities. Our focus is on how to meet environmental standards effectively by choosing efficient solutions while  staying within budget.The challenge cities face is resource allocation. Urban sustainability demands meeting environmental standards within tight and specific budgets. The task is … Read more

AI theory: Using NLP – Graph Rag for AI Suggestions in Facades, based on Environmental Guidelines

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MaAI-01 2024-2025

This project leverages Graph Retrieval-Augmented Generation (Graph RAG) to provide intelligent facades configuration recommendations aligned with the New European Bauhaus (NEB) principles. This post presents how we apply AI theory approaches for reaching the stablished target. The project correlates quantitative data and qualitative guidelines, by integrating 17% of the assessed metrics in this guidelines and creating … Read more