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.
The work presented in this blog post is a study on how to with code and visual tools the creation and representation of the data this research group has been using for a main project in Research Studio. It explores the integration of data-driven design methods to support sustainable facade development and align with environmental … Read more
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
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
