In a world of interconnected crises and rapid technological change, Digital Cultures provides a lens to explore how we interact with technology and respond to global challenges. The Digital Cultures class invited us to reflect on these dynamics, highlighting the importance of rethinking the narratives, metaphors, and values shaping our present and future. Central to … Read more
“capitalism as a mode of production has necessarily targeted the breaking down of spatial barriers and the acceleration of turnover time as fundamental to its agenda of relentless capital accumulation” (David Harvey.) 01. The Evolution of Urban Reading Urbanization, much like the transition from print to digital media, reflects evolving modes of engagement. The shift … Read more
Key words: Neoliberalism/ Critical Urban Theory/ Spatiotemporality/ Planetary Urbanization The accelerated development of communication and technological systems, and more precisely of intelligent technologies, has significantly changed the ways in which human and non-human coevolution is shaping. Implications for theoretical frameworks include broadening definitions of consciousness beyond the human, reshaping cognitive boundaries in an assemblage between … Read more
“The artificial refers not to the fake, but to what is deliberately created, designed with purpose, and capable of reshaping both human and planetary futures.” Benjamin Bratton In recent years, the notion of artificiality has evolved from being seen as an imitation of the natural, to an integral part of planetary and urban systems. Benjamin … Read more
Llum BCN is a leading lighting arts festival in Europe and a cultural event highly appreciated by the citizens of Barcelona. Organised by Barcelona City Council, Llum BCN brings together interventions by creators from all areas of the visual arts, including contemporary art, design, architecture, technology and lighting design. During the three-day festival, the Poblenou neighborhood … Read more
Overview PaperLink WIP – This study specifically explores Physics-Informed Neural Networks (PINNs) and Computational Fluid Dynamics (CFD) to analyze pedestrian wind comfort. It aims to integrate these neural network models into a web application using Three.js and other tools. By utilizing data from OpenWeatherMap, and OpenStreetMap, the project aims to support real-time simulations and visualizations … Read more
A road map using Ai & computational design # 01 the road map To convert a 2D raster plan into a BIM model, we first need to recognize the image contents and convert them into vectors, attaching relevant data. So , Our process focuses on three stages: image-to-vector, vector-to-graph , and finally graph-to-BIM During our … Read more
Abstract This study examines the pressing problem of violence against women in Mexico City, focusing specifically on strategies to prevent the escalation of violence that can lead to femicides. The persistence of gender-based violence in the city is aggravated by socioeconomic disparities, inadequate urban planning, and a deficiency of safe public spaces. The notable increase … Read more
In a world driven by digital transformation, the realm of architecture and design faces new challenges in achieving flexibility, scalability, and efficiency. One of the most pressing issues is modular determination—how do we ensure that modular structures fit together seamlessly, across various design patterns? Design as Grammar addresses this by leveraging Graph Machine Learning (Graph … Read more
Introduction BIM and Cloud Adoption The construction industry is still experiencing a digital revolution led by the widespread adoption of Building Information Modeling (BIM) and cloud computing technologies. BIM has established itself as the central tool for the digital planning, construction and management of buildings, while cloud computing is transforming collaboration and data access. Studies … Read more
Table of contents Abstract Hypothesis Objective Overall process We start with a conceptual solid component, which is essentially a 3D representation of walls, slabs, doors, etc. We then classify the different components within the building. This helps us understand the boundary of spaces and the connection between them. Next, we extract the space massing from … Read more
Daylight autonomy is a climate-based metric that measures the percentage of occupied hours during which a given space receives a specific amount of light, typically 300 lux, through natural daylight alone. It is used to evaluate energy efficiency in building designs by evaluating how much artificial lighting can be reduced throughout the year (Lorenz et … Read more
Abstract Architectural drawings and construction documentation are critical in the construction industry, serving as the main means of communication between different disciplines and acts as a blueprint on guiding the construction of the built environment. However, errors in these drawings are quite common and often leads to significant delays, cost overruns, and structural issues. This … Read more
Vocal Commands for Autodesk Revit Problem Despite decades of technological advancement, the core user experience between man and computer has remained nearly unchanged. This tedious and repetitive process requires designers to spend extreme amounts of time that could be saved through updated methods. This thesis explores a potential future for computer user experience, utilizing AI … Read more
Roof albedo, the measure of a roof’s reflectivity, significantly impacts urban heat islands, energy consumption, and overall building efficiency. This study aims to analyze how different roof features and materials affect roof albedo in Copenhagen using machine learning techniques. Extreme heat events are rising globally and projected to increase in frequency and intensity, posing a … Read more
Thermal Insight would be a standalone app that optimizes indoor environments by predicting thermal comfort. With simulations from trained models to help enhance occupant comfort and energy efficiency, evaluating metrics like PMV, PPD, and MRT. This tool would help improve well-being and productivity while achieving efficiency goals. Abstract Methodology Use Case Data Analysis Results and … Read more
