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.
A web application that analyses an IFC building model and recommends passive cooling strategies for Mediterranean climates. Upload a building, place it on the map, set its orientation, and get a ranked set of design interventions backed by a knowledge graph and Claude AI. The tool helps architects explore the passive strategies of their building … Read more
Applying CLIP vector embeddings to defensibly evaluate the architectural value of heritage-listed buildings Project Summary Project Presentation
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
Veil of Timber explores the transformation of a parametric pavilion into a detailed, data-driven BIM system. By integrating computational design and metadata with the help of grasshopper and real-time visualisation using Speckle and Power BI. The project bridges geometry and data to enable querying, analysis, and informed decision-making. Overview The pavilion is a parametric system … Read more
This project explores a robotic system that translates digital vision into physical matter through the constraint of continuity. Rather than behaving like a conventional plotter that freely lifts and re-positions its pen, the system confronts a more complex challenge: it must interpret image topology and compute a path that allows the entire drawing to be … Read more
Deforestation Raster Map – 2024 The visualization depicts accumulated and annual deforestation patterns in Brazil from 1985 to 2024. The accumulated dataset shows a continuous rise in total deforested areas, reaching over 140 milllion hectares. Annual trends reveal strong fluctuations, with peaks in the late 1980’s and mid-2000’s, followed by decreases and renewed variability in … Read more
In our final exercise of our Urban Data seminar, we were asked to create an interactive web platform, using the python library Dash. Dash allows users to upload and format datasets to be interactive, easily toggling between different data visuals rather than showing static imagery. In personal experience, our group has noted how applicable this … Read more
Throughout the course of Urban Data, we learnt several different ways of handling multiple datasets to finally form a dashboard for the same. In this exercise, we worked using VS Code to create a Dashboard for the comparison of Barcelona’s available rental or buyout housing like what idealista does but the also have it depended … 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
