“WHAT IS THE FIRST THING THAT YOU THINK OF WHEN YOU HEAR THE WORDS: GENDER & BANGKOK? “ 1. BANGKOK’S SPECTRUM OF GENDER (INTRODUCTION) Historically, Thai society has grappled with rigid gender roles, which often saw Thai women facing significant challenges and being relegated to positions within the entertainment and sex industries. However, as Thai society … Read more
Project Focus For our Graph Machine Learning project, wanted to look at the city of Kyoto and Tourism Behavior around Cherry blossom patterns. Specifically, we set out to find out how cherry blossom patterns might affect the behavior and walking paths of tourists within the city. Data Sets We started by collecting our data sets … Read more
Introduction Medellin, known as the ‘City of Eternal Spring,’ is a Colombian city located between mountains around the Aburra River Valley. According to the National Census, it is inhabited predominantly by women, as 53.3% of the population is composed of women, and a large portion of them perform in areas such as education, healthcare and … Read more
The Case of Tourism in Barcelona The “Guidebook on Urban Degrowth” explores applying degrowth principles in urban planning to promote social well-being and ecological equity in cities. This thesis develops guidelines to shift from high-consumption economic models to those that emphasize environmental balance and social equity. Focusing on Barcelona, it addresses the challenges of over-tourism, … Read more
Hypothesis The goal of this research was to investigate if open spatial data could predict Yelp ratings utilizing graph machine learning (GML) methods. We hypothesize that urban phenomena, events, and objects will indicate customer reviews and popularity, and therefore, could be used predict ratings. In particular, we perform edge classification using the DGL library. For … Read more
Insights into the effects of weather data in Argentina, with implications for sustainable land management, deforestation and conservation policies, agriculture, industry and economies. Climate change, in particular the decrease in precipitation, is predicted to have significant effects on the living conditions in Argentina, affecting agricultural production, sea level rise, hydroelectric energy. The dataset composition consists … Read more
Abstract: The ReWeave project develops a robotic system to repurpose construction and demolition (C&D) waste into functional, attractive walls, enhancing human-robot collaboration. We created a database by scanning broken tiles to extract shape, size, and color information, then developed custom nesting algorithms to optimize tile arrangement. The workflow includes scanning tiles, exporting outlines via ROS, … Read more
Beginnings Our project’s concept is to develop a classification model that identifies street intersections (graph nodes) in Stockholm, Sweden, susceptible to flooding during a 100-year flood event. Based on our initial research, we found that graph machine learning operates at three levels: the graph, its edges, and its nodes. With access to a 100-year flood … Read more
1. Introduction 1.1. Abstract Autonomous Vehicles are vehicles that employ driver assistance technologies to remove the need for a human operator within the vehicle. These new technologies into automation have been researched in contexts like the United States of America, Middle-Eastern Countries and some European Countries. Planners and architects are designing for these cities including … Read more
Keywords : TROPHIC CASCADE – A trophic cascade occurs when a change at one level of the food web (often due to the addition or removal of a keystone species) causes a series of indirect effects on lower trophic levels. This can lead to significant and widespread changes in ecosystem structure and nutrient cycling. KEYSTONE … 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
Abstract The escalating challenge of managing construction and demolition waste necessitates innovative approaches to enhance sustainability in the construction industry. This research proposes an automated robotic workflow leveraging Multi Agent Systems (MAS) and computer vision to repurpose planar construction waste materials, such as tiles, into new construction elements like bricks or walls. The primary objective … Read more
“Can we understand urban environments and street characteristics from Google Street View panorama images using Machine Learning and Stable Diffusion techniques?” Project OverviewThis computational design project aims to develop a pipeline utilizing Grasshopper and Python to visualize clusters of panoramic streetscape images. The project leverages t-Distributed Stochastic Neighbor Embedding (t-SNE) for dimensionality reduction, facilitating the … Read more
Concept Most of Virtual Experiences are designed and model for humans and by humans. In this scenario believe the overall concept is that the game platform is seen from the perspective of an animal. References Aim “Our goal is to offer humans a unique experience through the eyes of a peacock. This game platform immerses … Read more
Abstract Dakar is Senegal’s capital city and rapidly urbanizing economic center. Today, Dakar’s urban area is home to 3.54M people, half of Senegal’s population, and generates 55% of the Country’s GDP. This growth is artificially constrained by an urban growth boundary, where new homes are informally built, and due to the city’s topography, a peninsula … Read more
