AQUA.NEST: An AI-Powered Decision Support Toolbox for Adaptive Urban Design Using Nature-Based Solutions in Flood-Exposed Coastal Cities Coastal urban flooding is emerging as one of the most urgent climate challenges of our time. Without strong adaptation, annual flood damages could reach €930 billion globally by 2050, even with improved infrastructure (OECD, 2020). Rising sea levels and … Read more
Predicting Building Energy Performance: A Machine Learning Approach to Energy Use Intensity (EUI) In the world of sustainable architecture and building design, understanding energy consumption is crucial for creating efficient, environmentally responsible structures. Energy Use Intensity (EUI) serves as a fundamental metric that tells us how much energy a building consumes per square meter per … Read more
January 7th marked the beginning of one of the most devastating wildfire events in California’s recent history. A series of fires struck the city of Los Angeles, and within just 24 hours of the first ignition, the city was already facing three major wildfires in Pacific Palisades, Eaton, and Hurst. At that point, two fatalities … Read more
The Challenge Traditional industrial robot software emphasizes reliability, precision, and repeatability. This approach can make the human-robot collaborations feel uncreative and non-engaging. Robots must by dynamic and engaging to thrive in a human-centered environment. The Solution The Overview Inverse Kinematics Using Inverse kinematics to orchestrate joint rotations, and constructing smooth mathematical functions that are composed … Read more
Safety Perception in Jakarta Why Simulate Perception in Urban Spaces? In the realm of smart city design and urban analytics, one of the most nuanced yet underexplored datasets is perceived safety. This perception isn’t easily quantifiable, yet it critically influences how public spaces are used, trusted, or avoided. Traditional surveys are the go-to method for … Read more
Infiltraciones en el Barrio Ferroviario de San Juan. Artes, Oficios & Rituales. Huellas Ferroviarias El 2 de abril de 1885 llega el ferrocarril a la Provincia de San Juan. Su llegada fue indispensable y fundamental, junto a la inmigración europea. En el año 1948, el presidente de la República Argentina, Juan Domingo Perón, nacionalizó los … Read more
Generating the Optimal Pavilion Design through Sunlight-Driven Evolutionary AlgorithmsLocation: Poblenou, Barcelona This project explores a generative design workflow applied to pavilion architecture in Poblenou, Barcelona, where sunlight is a critical environmental factor. Using evolutionary algorithms, we generate an optimized pavilion form that responds to solar exposure, ventilation, and material efficiency. Inspired by the natural selection principle from John Holland’s genetic … Read more
(PaintDumpster/environmental_data_workshop at ndvi) – Link to GitHub This project aims to detect and classify different types of greenery in satellite imagery by utilizing color and edge detection techniques. The study area is located in Barcelona, Spain (41.396536, 2.194554). The stable version employs color and edge detection for image segmentation, while an alternative method integrates LiDAR … Read more
The project is situated in Athens, Greece, which overheats in the summer. We wanted to test a hypothesis: The overheating is the result of too much hardscaping (asphalt, concrete, brick) and not enough greenery. We wanted to compare the NDVI (a measure of greenery in a city) taken from Satellite images to Land Surface Temperature … Read more
Tracking Morphological Evolution Over Time Urbanization and Vegetation Change Analysis Using Satellite Data Introduction Satellite imagery provides a powerful view of Earth’s surface, but to the naked eye, changes like urban growth and vegetation loss are not always obvious over time.Colors and features can look deceptively similar, making it difficult to accurately assess land cover … Read more
Github : https://github.com/Clarrainl/UN_LOG-Factory | INTRODUCTION | Detecting wood defects in 3D-scanned logs using Machine Learning In the timber industry, a significant portion of wood gets discarded due to irregularities or defects that make it unusable under standard practices. However, many of these logs can still be used creatively or structurally if properly understood and classified. This project … Read more
Petrópolis: Analysis & Strategic Responses for Flood-Vulnerable Contexts 1.1. History of the city Summary – 1.1. History of the City Petrópolis initially developed in valleys and along riverbeds, where construction was easier, but this laid the groundwork for future vulnerabilities. Located within the Atlantic Forest Biome, only 12.4% of its original forest remains due to … Read more
A Methodological Approach to Urban Morphology and Hybrid Energy Systems in the Global South Project Statement: “Even as we advance in Energy Innovation, our cities continueto grapple with deep inequalities. In this research, I proposerethinking Urban Morphology—not merely as the physicalform of our settlements, but as a strategic lever for equitableenergy solutions. The conceptual Energy-Morphology … Read more
In the ever-evolving world of architecture, Hyper A is an exploration into the limits—and freedoms—of structural design. We, the Structure Team, consisting of Joaquin Broquedis and myself, Marco Durand, are excited to present the structural concept that supports not just a building, but a multi-neighborhood urban vision. This blog offers a deeper look into our … Read more
The Problem The built environment is responsible for 42% of annual global CO₂ emissions. Within this, building operations and construction alone contribute nearly one-third. Yet, current construction methods lack flexibility, efficient resource use, and environmentally friendly solutions. This is the context that drove our project. Terraweave Solution TerraWeave integrates robotics, wattle and daub construction and … Read more
Creating a Visual Medium for the Visualization of Urban Data Using Cesium in Unity Engine for Geospatial VisualizationCesium for Unity bridges 3D geospatial data with Unity’s real-time development environment, enabling developers to create immersive, real-world simulations and applications. By integrating high-accuracy global datasets, 3D Tiles, and dynamic data feeds, it provides a robust framework for … Read more
