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
Opening a business is a bold investment. Factors (many out of business owners’ control) can determine whether or not local businesses thrive or struggle. Location matters, especially for businesses that depend on foot traffic. But the bigger questions are tough to answer: where should the business open? What is a fair rent to expect? Which … Read more
In this article, we explain our Workshop 1.2 project, in which we analyzed data to transform it into movements to control an ABB IRB 6700-150/3.20 industrial robot equipped with a plastic pellet extruder for additive manufacturing. The main idea of our project was to analyze climate data from the city of Barcelona during the years … Read more
Semiocity — Semiotic-Aware Urban Image Generation This is part of the Academic work at Iaac Barcelona for the Master’s Program im Advance Computation for Architecture and Design 2024-2025 Repository for the Master Thesis “Semiocity: Generating Semiotic‑Enriched 3D Models from Text Inputs” Degree: Master in Advanced Computation for Architecture and Design (MaCAD), Institute for Advanced Architecture of … Read more
Toward Net-Positive Architecture MASTER IN ADVANCED COMPUTATION FOR ARCHITECTURE & DESIGN 2024/2025 Anji, Christina & Will Thesis – Supervisor: Gabriella Rossi We are facing an urgent climate crisis, one that demands architecture to move beyond conventional sustainability toward regenerative, net-positive approaches. Current design practices often struggle to integrate environmental and context-aware analysis seamlessly because they … Read more
Turning Natural Language into Architecture Designing a house is never just about walls and windows—it’s about translating human stories into spaces that feel alive. Clients describe routines, aspirations, and cultural practices. Architects then face the challenge of turning those narratives into coherent layouts that also respond to site, climate, and context. Most computational tools fall … Read more
Andromeda is a Rhino-native copilot that turns briefs, context, and massing into a single, interpretable graph so designers can enrich masterplans, evaluate KPIs, and bake results back to Rhino, without leaving their workflow. Built for early-stage masterplanning, it aims to raise social value, connectivity, accessibility, and overall urban quality by unifying data, guiding program allocation, … Read more
ABSTRACT This thesis investigates the relationship between urban development patterns and outdoor thermal comfort, with a focus on Mean Radiant Temperature (MRT), a key factor in calculating the Universal Thermal Climate Index (UTCI). While graph-based approaches have long been used in spatial analysis (e.g., space syntax, circulation networks), this research extends the application of graph … Read more
ABSTRACT Recent developments in generative artificial intelligence, particularly diffusion models such as Stable Diffusion and DALL·E, have enabled the creation of visually compelling architectural façades from text-based prompts. While these outputs are expressive and stylistically diverse, they remain fundamentally unstructured, lacking spatial intelligence, semantic clarity, and geometric editability. This limits their integration into architectural design … Read more
Manual floorplan generation for high-rise residential buildings is labor-intensive and often overlooks key environmental parameters, limiting the ability to quickly assess performance-based design alternatives. Demo :
Automating Architectural Visualization: A Journey Through Technical Pivots and AI Evolution Introduction In the rapidly evolving landscape of architectural visualization, the gap between conceptual design and compelling visual presentation remains a significant challenge. While architects and designers excel at creating innovative spaces, transforming these 3D models into cinematic walkthroughs typically requires specialized skills, expensive software, … Read more
In contemporary architectural practice, the gap between conceptual design and structural analysis often leads to delays, miscommunication, and inefficient iteration cycles. This project proposes an integrated workflow that bridges this divide by creating an interactive interface where architects can receive real-time structural feedback while scanning their preliminary physical model. By combining Unity-based visualization, QR code-enabled … Read more
EcoNodes is an AI-driven urban planning platform designed to identify and prioritize the city’s most heat-stressed and impervious junctions for strategic green interventions. By combining satellite imagery, street view segmentation, and environmental datasets, EcoNodes highlights the urban nodes that lack vegetation, suffer from poor air flow, or trap excessive heat. The tool empowers planners to … Read more
