This project envisions a transformative rewilding of the Besòs River in Santa Coloma, integrating human and ecological systems through dynamic, data-driven design. By strategically restoring habitat continuity with green corridors and innovative avian nesting prototypes, it fosters a symbiotic relationship between urban life and nature. Leveraging 3D clay-printed nests inspired by natural forms and utilizing … Read more
1.0 Concept In the evolving landscape of urban development, property rates are influenced by numerous factors, including geographical, socio-economic, and infrastructural elements. Our project, “Urban Insights: Leveraging Open Data for Smart Property Rate Predictions,” aims to create an intelligent, data-driven model to forecast property rates. This model utilizes features such as wards, property types, and … Read more
City-Oriented Modeling for Observational Radiative Thermal comfort CONCEPT The idea behind C.O.M.F.O.R.T is to provide an effective tool for architects and urban planners to design cooler and more sustainable cities, leveraging the power of machine learning and AI technologies. FACTORS OF IMPACT To create COMFORT we had to study the different factors of impact which … Read more
We embarked on a fascinating journey through the latest advancements in Image Synthesis and Language Models within the Architecture, Engineering, and Construction (AEC) industry. The course highlighted the transformative potential of generative AI, enabling architects, engineers, and designers to push the boundaries of traditional design processes, streamline workflows, and tackle complex challenges in groundbreaking ways. … Read more
The whole AEC industry is challenged by the high CO2 footprint caused by the increasing population and construction. Introducing regulations to the construction industry is a solution to reduce CO2 footprint. The workflow behind Leed mini consultant goes as follows: starting with gathering the regulation in a dataset and setting it up, training a rag … Read more
Project goal For our graph Machine Learning project we chose to work with the city of Copenhagen. Our goal was to predict the Road Noise in the city. Dataset and data preparation From the KOBENHAVNS OPEN DATASET, we obtained a dataset detailing road noise levels across Copenhagen. To fill in the gaps where data was … Read more
This project aimed to develop a daylight predictor to facilitate and generate well-informed adaptive reuse projects, with a specific focus on providing sustainable design solutions for low-income housing. Los Angeles (LA) was selected as a case study due to its proactive open data initiatives and commitment to adaptive reuse. This proposal provides a snapshot of … Read more
The idea of a ‘car-free’ city is not as easy as just banning cars but about reducing car reliance. The private car has undeniably revolutionized mobility in the 21st century. It has offered convenience, job creation and an increased freedom of movement. While a world without cars might seem unimaginable, cities globally are strategically transitioning … Read more
Con más de la mitad de la población brasileña viviendo en áreas urbanas, la necesidad de integrar la naturaleza en la vida cotidiana se vuelve crucial. La urbanización desordenada alrededor de ríos y manantiales, como ocurre en la Represa Guarapiranga en São Paulo, compromete la cobertura vegetal, causando polución y amenazando la oferta de servicios … Read more
Create a personalized robot game where users can freely choose how they interact and the game mode. Methodology Workflow A path towards robotic gaming Game Rules How this game works 01 Training Mode Similar to the single-player mode, in this mode you can train your skills so that you can perform better in the next … Read more
View some of the collected data here: Street Types and Property Information Genius Loci was inspired by the work the of Sarah Williams in her book ‘Data action – Using data for public good’. In today’s data-driven world, the use of data has become increasingly pervasive, shaping various aspects of our lives from policymaking to … Read more
In the realm of urban theory, navigating through dense academic papers and theoretical frameworks can often feel like traversing uncharted territory. The intricacies of language and abstract concepts can obscure the underlying essence, leaving many grappling for clarity. However, in the age of artificial intelligence, I have embarked on a groundbreaking journey to decode the … Read more
We’ve witnessed a fascinating shift from conventional to computational approaches, responsive designs, and the era of automation. Machine Learning, a term buzzing everywhere these days, has made its mark in our industry as well. In architecture, ML, a subset of artificial intelligence, utilizes data to tackle challenges in computer-aided design by simulating various design alternatives … Read more
Introduction Known for its fashion, history, and culture, Milan also faces a pressing environmental issue: it stands as one of the most polluted cities in the World. The challenge of mitigating air pollution in Milan is complex, as it is shaped by a mix of geographical, meteorological, socio-economic, and cultural factors. From the city’s dense … Read more
In the process of creating this blog post dedicated to defining a Biocity, I played a crucial role in conducting comprehensive research and contributing to the compilation of a specialized dictionary. As part of a collaborative effort involving students from the Institute for Advanced Architecture of Catalonia (IAAC), and under the guidance of mentors Honorata … Read more
ShadeHaven_NOVA, an architectural marvel, stands as a pavilion designed with the noble intention of inspiring individuals to leisurely sit and immerse themselves in the awe-inspiring presence of the Barcelona Cathedral and the rich cultural tapestry enveloping its surroundings. Nestled within the historical expanse of Plaça Nova, at the core of Barcelona’s Gothic quarter, this visionary … Read more
Harnessing the power of drone-based photogrammetry and artificial intelligence to create a low-cost urban wildfire diagnostic tool. In recent years, the global community has witnessed a significant upsurge in the frequency and intensity of wildfires. Driven by a combination of climate change, urban expansion, and land-use practices, these fires have not only devastated vast natural … Read more
