Mapping out Spatial Intelligence Program: Master in AI for Architecture and the Built Environment (MaAI)Supervisor: Wassim Jabi Motion Pixels is a research project that explores how pedestrian movement can be transformed into spatial intelligence. By combining computer vision, trajectory analysis, behavioral mapping, and machine learning, the project converts video recordings of public spaces into spatial … Read more
Every great building begins as a small model and a messy desk Abstract As architects we spend hours making physical study models, cutting foam, assembling balsa, running the 3D printer. These models are essential, but the process is slow. Crafty Studio asks a simple question: “What if you could see your design as a physical … Read more
The promise of AI agents is compelling: systems that can sense their environment, plan strategically, take action, and learn from experience. But as organizations begin deploying these systems in production, a troubling reality emerges. The very capabilities that make AI agents powerful—their ability to reason, adapt, and solve novel problems—also make them frustratingly unpredictable. This … Read more
“Power is not something you possess, it is something you exercise”– Michel Foucault With this phrase by Michel Foucault, I would like to invite you, reader, to adopt a lens focused on power relations as you move through this blog post. The first power dynamic I would like to highlight is the asymmetrical relationship between … Read more
A street-level method for predicting and explaining urban heat from surface composition and configuration
Intro This digital essay explores the growing trend of designing interior spaces for image consumption rather than functional use. This project investigates the consequences for public spaces when they are reshaped by the “economy of likes”. Drawing on Guy Debord’s Society of the Spectacle, the researchers argue that social relations are increasingly mediated through images, … Read more
atlas of vacant spaces Urban vacant land in dense, post-industrial cities remains spatially invisible: absent from open datasets despite its potential to address chronic green space deficits. This thesis “vo:id” is a pipeline detecting, classifying, and prioritizing urban voids using only globally covered open data. Combining OSM-based negative masking, vision-language model classification, and human-in-the-loop validation, … Read more
A theory review of Chapter 18 of Russell & Norvig’s Artificial Intelligence: A Modern Approach This chapter was assigned for the AIA Theory seminar at the beginning of the MaCAD 2025–2026 program, as part of a sequence of foundational readings on artificial intelligence. The seminar pairs canonical AI literature with discussion around its implications for … Read more
MUTAVERSE is an AI-powered reality mutation engine. The project began with a simple speculative question: What if one architectural image could evolve into multiple alternative realities while still preserving its original identity? From Image Styling to Reality Mutation Rather than using generative AI only as a visual styling tool, MUTAVERSE explores how architecture can transform … Read more
“ An AR-Driven Biomimetic Pavilion Generated Through Environmental Field Behavior “ Architectural pavilion design and fabrication often require complex digital workflows, technical expertise, and multiple visualization tools, making the process difficult for rapid concept development and real-world understanding. Designers also face challenges in translating organic, nature-inspired forms into fabrication-friendly structures. BIOMIMICRY PAVILIONS Organic Geometry Biomimicry … Read more
Can Street Geometry Predict Urban Safety Risk? A machine-learning pipeline that classifies street morphology into risk typologies — from OpenStreetMap features to multi-city deployment, dead ends included. This post documents the full arc of our Urban Safety project — not just the results, but the reasoning, the wrong turns, and what we learned from them. … Read more
In contemporary urban planning, we often focus on the best parts of a city. However, true transformation begins by identifying the most vulnerable areas. We have recently developed a parametric model in Grasshopper to analyse the Gràcia District in Barcelona, utilizing a worst-case scenario routing logic to pinpoint exactly where new Green Axes should be … Read more
Mediterranean islands are crushed by tourism in July and August, and almost empty the rest of the year. So we asked what if generative AI could show people the ten months that already exist beyond those two? The goal was to make the off-season feel desirable, not as data, but as images you’d actually want … Read more
We have all been there. It is 3:00 AM, the competition deadline is looming, and you are trapped in an endless, soul-crushing loop of exporting from Rhino, tweaking vectors in Illustrator, and heavy post-processing in Photoshop. The repetitive grind of architectural representation can quickly lead to creative burnout. It is time to smash the old … Read more
