Located in the heart of Barcelona, where the history of the city began, the Gòtic Quarter is an iconic neighborhood, we sought to understand its complex dynamics and whether its economic model could truly be called sustainable. From Roman foundations to bustling contemporary streets, the Gòtic Quarter embodies a story of transformation. But behind its … Read more
As part of the Master in City & Technology Introductory Workshop, our team was tasked with studying La Barceloneta, a district characterized by its complex layers of social, economic, architectural, and administrative systems. This project aims to explore these dimensions, highlighting the interactions between tourism and the local community in one of Barcelona’s most iconic … 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
La formulación de la paz es imposible para el consenso de las masas actuales. Esta misma perspectiva es igualmente negativa en el país que inició el desarme de sus tropas después de la dolorosa II Guerra Mundial y una sangrienta Guerra Civil en 1948, esta es Costa Rica. Una utopía en las américas, una deformada … Read more
Consideraciones del proceso de aprendizaje y resolución final. La determinación de dominio desde nuestro cuerpo sobre la relación con la realidad, y subsecuentemente con el Entorno. Plantear el Mapa Conceptual con el cual organizar al sistema, de manera de establecer un contrapunto, con el cual desarrollar las propuestas. Establecer una categoría desde donde intervenir, que … 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
Dataset Our database contains more than 181,000 rows, each with comprehensive information. The primary database includes 17 variables, though not all are necessary for our analysis. The most crucial data points are location (latitude and longitude), type of food establishment, type of inspection, inspection results, and risk level. As the person who uploaded the database … Read more
Fields at Play identifies the value of gender inequality in Olympic infrastructure and proposes to leverage the derived $12.6B Olympic gender gap in sports facilities to fund the revitalization and ongoing program of reliable, safe, and comfortable spaces for women at risk of gender-based violence. Understanding the purpose and outcomes of Olympic infrastructure strategies in … 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
The intensification of human activities has transformed river basins, characterized by the loss of natural floodplains, an increase in impermeable surfaces, and the escalation of surface runoff. This thesis explores the importance of tailoring flood prevention strategies to upstream conditions to aid in flood risk management for downstream urban areas. Specifically, it presents an incentive-based, … 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
To predict whether a location in Barcelona is a key tourist site or not using graph data and specific contextual features, including the impact of the PEUAT plan on regulating tourist accommodations. The features explored and the URL selected on the Barcelona open data are score or indicator related to the tourism plan PEUAT, Proportion … Read more
This post describes the development of a method to predict metro station locations using Graph Neural Networks (GNNs). Our journey began with a challenge familiar to urban planners: how to strategically place new metro stations to optimize transportation networks. In this case the city of Stockholm was used as testbed. The Challenge of Data Imbalance: … 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
Optimizing Bar Buildings for Sunlight and Pathways The aim of this project was to design a typology of housing is needed that resembles small, artificial terrains. The Bar Building typology will have set of long, dense buildings that will mimic the form of a topography. The forms will need to be optimized to allow for all the … 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
The year is 2100. Latin America is sinking. Due to global warming the polar icecaps have almost melted completely. In addition the increased temperature has caused the global water mass to expand by almost 1%. As a consequence sea levels are rising at unprecedented levels globally. The coastline in South America is hard-hit by these … Read more
1. Abstract India is a country known for its diversity. In the diverse fabric of inhabitants, India’s governing policies and laws are meant to safeguard the rights and responsibilities of minor groups residing in India, amidst the general laws for all of her inhabitants. Minor groups like tribes of India, registered in the schedule of … Read more
Introduction Fascinated by the formation of landscapes through geological processes, I wanted to develop an interactive tool that simulates the effects of erosion on a virtual terrain. The goal was to both illustrate how erosion works and to create an experimental playground for designing one’s own landscape forms. The development utilized VUE, ThreeJS, and Rhino.Compute. … Read more
Creating a streamlined pipeline to visualize and extrapolate financial data enabling a correlation with spatial geo-specific information. The World and all countries alike have been increasingly more susceptible to events and developments in the geo-political theatre. It is not surprising that the world’s top two economic and military superpowers play a pivotal role in this … Read more
The killing of Nahel Merzouk was not an accident. The 17-year-old French Algerian boy was killed where the potential for conflict is high, in Nanterre. A young Muslim in a yellow Mercedes along the western Champs-Élysées unfortunately made Nahel a prime candidate for police violence resulting in death. His death brought about a week of … Read more
History is not always written in neat paragraphs and grand monuments. Sometimes, the most important stories are the ones left untold. The ones silenced, forgotten, or deliberately erased. In 1994, over a period of 100 days, the Rwandan genocide took place. Hutu extremists; fueled by ethnic hatred and political manipulation, sought to eradicate the Tutsi … Read more
