The Master in City & Technology’s academic structure is based on IAAC’s innovative, learn-by-doing and design-through-research methodology which focuses on the development of interdisciplinary skills. During the Master in City & Technology students will have the opportunity to be part of a highly international group, including faculty members, researchers, and lecturers, in which they are encouraged to develop collective decision-making processes and materialize their project ideas.
A speculative approach to Design through data, literature, and participatory AI in Sant Antoni Our urban issue: The Lack of Narrative-Driven Urban Design in a Data-Driven City Contemporary urban design increasingly relies on AI and big data, often sidelining human stories, cultural narratives, and historical context in shaping urban spaces. While data-driven design optimizes efficiency, … Read more
Designing an Inclusive and Functional Bench Through the Lens of Iconic Visionaries Urban design has always required balancing complex social, cultural, and environmental factors. In this project, we explored the potential of AI in shaping public spaces. Specifically, designing a bench that serves the needs of both homeless individuals and daily users. We developed a … Read more
Informal settlements have become a pressing issue across Latin America, reflecting deep-rooted socioeconomic inequalities and rapid urbanization. In 2014, approximately one-quarter of the urban population in Latin American cities lived in informal housing. By 2017, this number had increased to nearly one-third, and the trend continues to rise. Each country’s informal settlements have unique names … Read more
The exploratory analysis performed by Josefina Ovalle, Maja Mawusi and Michał Modelski We present you an exploratory analysis on the New York City’s Citi Bike network in New Jersey. We chose the latest dataset, from October 2024, that gives us data on bike stations, bike types, bike users, and bike usage over time. The choice … Read more
ABSTRACT Derived from the 2020 pandemic sanitary measures for Covid-19, Google created the Community Mobility Reports, which provide valuable insights of how people’s mobility changed as a result of the established health policies. The objective of this analysis was to understand how United States residents’ mobility behavior changed over time due to the COVID-19 pandemic. … Read more
The Backbone of Modernity – Since its invention in 1842, Portland cement has become a cornerstone of modern construction. Its role in shaping cities, infrastructure, and economies is unparalleled, but this comes at a cost. Cement production is energy-intensive, emits significant carbon dioxide, and has become a key driver of global greenhouse gas emissions Cement … Read more
As an introduction to Python, this course explored the foundations of data analysis and visualization using a variety of powerful libraries, including pandas, geopandas, contextily, matplotlib, numpy, seaborn, and plotly. The project below demonstrates the practical application of these tools. Inspired by the recent U.S. election, we focused on analyzing voter behavior and the factors … 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
Skyscrapers are human achievements that require innovation in the extraction of land to tower over its neighbors. The third skyscraper future reflects the past imaginary of Fritz Lang’s, Metropolis. This visualization aims to highlight the economic disparities and labor oppression depicted in the film, contrasting them with the modern logics of rentism as embodied by … 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
Grasshopper is an incredibly versatile tool that in recent years has expanded into fields far beyond the origins in three-dimensional parametric design. One of these fields is that of GIS analysis, which has traditionally been approached through software such as QGIS. The advantages of Grasshopper and Rhinoceros3D over QGIS include the versatility and customisability of … Read more
Introduction This presentation outlines the development and evaluation of machine learning models aimed at predicting the availability of bikes at various bicing stations in Barcelona. We’ll discuss the variables involved, the modeling techniques used, and compare the performance of different models. Python is a friendly environment for preparing, training and forecasting machine learning algorithms within … Read more
Introduction Urban transportation planning relies on data science to explain the conditions driving mobility patterns. This exploration of bicing, Barcelona’s resident bike rental program, analyzes the actors impacting discrepancies in bicing data to select machine-learning strategies able to predict biking station vacancies across Barcelona for the year 2024 with an accuracy of 0.02387. With this … Read more
The workshop challenged us to engage with the topic of planetary urbanization through the United Nations Sustainable Development Goals 2030 agenda. We chose to work on the city of Neuquen as it represents an example of a city that is undergoing a fast transition in the context of climate change. Neuquen province has a rich … Read more
The world is in constant flux, domestic and international flights play a role in the fast paced travel that has become a normality. This project was conducted with python script in Jupyter notebook, to map out the airports and routes on our planet. PYTHON SCRIPT: import pandas as pd ports = pd.read_csv(“pathtoports.csv”)print(ports)from shapely.geometryimport Pointimport geopandas … Read more
1. Abstract While studying about phenomenology and livability, it’s expression and its governing aspects, it is essential to recognise the true meaning of it. Phenomenology is reffered to the lived experience of objects, space and other surroundings. It is also important to understand the how, when and where of the experiences and what experiences are … Read more
