IAAC’s Master in City & Technology (1 or 2-year program) is a unique program oriented towards redefining the analysis, planning, and design of twenty-first-century cities and beyond. The program offers expertise in the design of digitally enhanced, ecological and human-centered urban environments by intersecting the disciplines of urbanism and data science. Taking place in Barcelona, the capital of urbanism, the Master in City & Technology is training the professionals that city administrations, governments, industries, and communities need, to transform the urban environment in the era of big data.
Understanding the complexity of urban flooding Across the globe, cities are facing the increasingly visible consequences of climate change, with floods and landslides ranking among the most destructive urban hazards. In Brazil, the city of Petrópolis offers a critical lens through which to study the layered vulnerabilities of urban settlements exposed to extreme rainfall, unstable … Read more
Overview Visualizing Visibility of Women+ Safety is a research initiative aimed at evaluating how the design of public spaces influences perceptions of safety for women+ in India, particularly in Delhi. The central question driving this study is: “How can we assess the current paradigms of urban design to better understand and improve perceptions of safety … Read more
Diving deeper into building a reliable rating algorithm The Importance & Significance of the F&B establishments in the City Food and Beverage (F&B) service outlets are significant indicators of urban progress as they reflect evolving consumer preferences, economic vitality, and the integration of social spaces within urban landscapes. These establishments act as hubs for community … Read more
An alternative ways of exploring the sounds that make up Gràcia This project investigates alternative ways of engaging with the sounds of Gràcia and how they can empower communities by fostering a deeper connection to place, memory, and identity. Sound functions as both a sensory experience and a cultural artifact, carrying layers of emotion, history, … Read more
El Poblenou is a neighborhood in Barcelona which is experiencing several degrees of transformation leading to urban niches unconsidered. Open City Poblenou envisions public spaces that respond to urban flux, creating environments that encourage interaction and a sense of belonging through co-designed, adaptive interventions by leveraging data-driven strategies and participatory design. INDEX 00_IntroductionExplanation of Poblenou’s … 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
The project envisions the use of novel data collection strategies for the purpose of increasing access to formal credit for MSMEs in the F&B Space Across the globe, cities face a pivotal challenge: unlocking the potential of their micro, small, and medium enterprises (MSMEs) to drive both urban transformation and national economic growth. These enterprises, often comprising over 90% of businesses in developing … Read more
How do we evaluate the current paradigms of designed public spaces to test the perceptions of safety of women+ in India such that it aids urban designers to make free movement of women+ easier in India, especially Delhi? Overview Women+ and Urban Safety is a research to find answers to the question of “how do … 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
A multidimensional and multiscalar exploration of the emerging Vertical Urban Transportation landscape. [A] INTRODUCTION “Advanced Air Mobility (AAM) is a rapidly-emerging, new sector of the aerospace industry which aims to safely and efficiently integrate highly automated aircraft into the NAS. AAM is not a single technology, but rather a collection of new and emerging technologies … Read more
Introduction According to the World Health Organization, around 1.19 million people die each year due to traffic accidents, and another 20 to 50 million suffer non-fatal injuries, many of which result in disability. Beyond the human toll, the economic costs related to treatment and care for those involved in traffic accidents are significant, estimated to … 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 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
Grasshopper’s neural network component is turning data into smart, functional design solutions. The neural network component within this environment presents a new frontier for design intelligence. Here’s a walkthrough of how this component transforms raw data into smart design solutions. The Training Grounds: Neural Network Trainer Designers input parameters into the Neural Network Trainer—this is … Read more
The project started with an experiment to see if an agent could follow a line and illuminate its path to see obstacles. The light is composed of isovits and only the ones in front of the agent are colored. The experiment went then to make the light 3D to illuminate buildings facades. Many approaches were … Read more
