A vertical ecosystem in Santiago where architecture, wind, and energy converge. The hyper Lung captures, cleans, and redistributes polluted air through a breathing core, transforming the tower into living infrastructure that breathes with the city! THE ALVEOLAR SPINE – THE LUNG ANALOGY The core of Hyper building 01 is defined by the Alveolar Spine. Taking … Read more
Hyperbuilding 2 functions as the transportation heart of the Vertical Machine, chanelling 20,000 passengers hourly while coordinating energy, logistics, and information flows across the entire urban system. Our team tackled the Program development for HB02, using Revit and Rhino Inside Revit to build a parametric system where occupancy data directly generates architectural form. The studio … Read more
Why KPI tracking breaks down during iterative design In the current studio workflow, KPI extraction and performance evaluation depend on repeated manual operations across design iterations. This slows down feedback, introduces version mismatch risks, and disconnects analytical outputs from the model itself. This tool was developed as an internal instrument for the data team, enabling … Read more
Our project is Flux Façade, a collaborative workflow for data-driven parametric façade design.The project was developed by Team 3.2 as part of the Collaborative Workflow Seminar in the Master in Advanced Computation for Architecture. Flux Façade focuses on improving how environmental analysis and façade geometry interact within the design workflow. Problem Statement In large architectural … Read more
The Problem No single source of truth for KPIs In our studio workflow, KPIs are everywhere and nowhere at the same time. Each team tracks performance in its own way—some in Grasshopper scripts, some in spreadsheets, some buried inside models—and none of these sources fully agree with each other. Because updates are slow and fragile, … Read more
Topic brief In the AEC industry, building analysis workflows often operate in isolated software environments, causing structural data to lose meaning once it leaves its original authoring tool. This study argues that the value of structural analysis depends not only on computational accuracy, but on the ability of its outputs to remain consistent as they … Read more
The Architecture, Engineering, and Construction (AEC) industry is currently undergoing a major technological shift. We are witnessing a definitive transition from manual, labor-intensive site measurements to AI-driven scan-to-BIM workflows. The goal is clear: to unlock the digital potential of existing buildings by creating high-fidelity records that support more efficient design, engineering, and facility management. As … Read more
Agricultural landscapes often disappear from visual and political attention during conflict, overshadowed by images of urban destruction. This project uses satellite imagery to examine agricultural land in Gaza, focusing on the Beit Hanoun belt as an intersection between destruction and food systems. Through vegetation indices and bombing crater detection, the study distinguishes seasonal agricultural cycles … Read more
DETECTING SAND MINING USING MULTI-TEMPORAL SATELLITE IMAGERY Introduction Sand is ubiquitous in the modern world. It is the second-most extracted material on Earth after water, driven principally by the global demand for concrete, infrastructure, and urban expansion. Estimates place global sand and gravel extraction at 40–50 billion tonnes per year, a scale that outstrips many … Read more
This proposal envisions an agent-based ecological simulation where human and non-human actors, farmers, water, soil, plants, fungi, and climate, interact within a shared bioregion defined by watersheds rather than political borders. Agricultural technicians serve as mediators between data and local knowledge. Agents are not merely data points but active participants in a living network, continuously … Read more
How can robots reach trash and recycle it? What components are we using? What is the system process? Main system
Artificial Intelligence is often discussed in the AEC industry through extreme narratives, either as fully automated architecture or algorithms replacing designers altogether. But in reality, AI’s impact is much quieter and much more practical. Today, AI is not designing buildings for us. Instead, it is supporting the many process-heavy tasks that surround design. AEC workflows … Read more
Brazil Vulnerability Cartography Brazil, a vast and vibrant country, is renowned for its breathtaking landscapes from rolling highlands to expansive savannas. It’s known for iconic beaches and bustling urban centers where a dynamic blend of cultures and ethnicities come together. Its cities hum with energy, music, and art. Together, these diverse landscapes and rich social … Read more
The Purpose of AI in the Age of Resource Scarcity Introduction: Redefining the Question The question “What is the purpose of AI in AEC?” often elicits a predictable response focused on speed. For years the industry has viewed Artificial Intelligence primarily as a mechanism for automation. It is seen as a faster way to produce … Read more
In the early stages of learning, artificial intelligence was perceived primarily as a digital aid tools created to improve efficiency, accuracy, and coordination across different stages of a project. AI was largely understood as a decision-support system, particularly valuable during the early design phases, yet always positioned as secondary to human expertise and judgment. However, … Read more
What Is the Purpose of AI in the AEC Industry? Artificial intelligence is not only a technology aimed at automating tasks; insights shared during this course demonstrate that AI plays a far broader and more strategic role in the Architecture, Engineering, and Construction (AEC) industry. Through real-world applications and practical case studies, AI emerges as … Read more
