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.
Tracking Morphological Evolution Over Time Urbanization and Vegetation Change Analysis Using Satellite Data Introduction Satellite imagery provides a powerful view of Earth’s surface, but to the naked eye, changes like urban growth and vegetation loss are not always obvious over time.Colors and features can look deceptively similar, making it difficult to accurately assess land cover … Read more
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
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
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
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
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
