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.


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Harnessing AI in Design: The Neural Network Component in Grasshopper

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

Fluid Dynamics

Introduction This exercise aims to create a customizable fluid simulator, to explore how microscopic particles interact with each other and their environment, ultimately building a foundation for understanding fluid dynamics at a smaller scale. The key challenge lies in computationally emphasizing the crucial behaviors of these particles. Fluids, despite appearing continuous, are actually comprised of … Read more

Mobility Amidst Chaos

Exploring Changes in Movement Patterns Amid Violent Activities Abstract Walking amidst Chaos is a conceptual project which aims at seeing deviations in movement patterns of people in the wake of violent activities and conflicts within an urban fabric. The project is developed through a method of agent-based simulation to see the extent of change in … Read more

Bits and Pieces

Pictures and symbols are valuable tools to communicate data. Pictures contain input data and representative symbols, generated from points, capture outputs. Pictures, or raster images, are often not geolocated and lack methodological explanation. Here, using the Bitmap+ plugin, pictures of urban conditions are tapped for the data they contain using the coloration of the image … Read more

Urbanization and gene pools: A simulation study

The persistent expansion of urbanization poses a significant threat to wildlife populations. One under-explored facet of this impact concerns the genetic health of these populations. Genetic diversity, measured by the variation within a gene pool, is crucial for resilience and adaptation. This project utilizes Grashopper-led simulations to explore the dynamics between habitat fragmentation, animal movement, … Read more

Flows and Barriers

Understanding the way pedestrians move through space is a task of heavy importance in the design and analysis of public space. It is fundamental to understand the motivations and utilities that influence the way pedestrians move through space. In cities such as Bogota, Colombia, heavy car-centered infrastructure has fragmented the city into clusters that limit … Read more

City in Motion: Analyzing People Movement with Agent-Based Modeling

In the realm of urban design, understanding movement behaviors is paramount for creating efficient and people-centric city layouts. In this individual project, I delve into the intricacies of movement behaviors using computational tools and techniques, including agent-based modeling. By incorporating the loop evaluate field amplitude tool and employing vector display, scalar fields, heat maps, and … Read more

Solving the maze

Mazes have fascinated humans for centuries. Solving them requires decision making based on limited knowledge, and the ability to remember and avoid previous mistakes. The problem of solving a maze from any given position within it, without knowing the location of the exit lends itself well to the iterative logic that is central to this … Read more