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.
The idea of a ‘car-free’ city is not as easy as just banning cars but about reducing car reliance. The private car has undeniably revolutionized mobility in the 21st century. It has offered convenience, job creation and an increased freedom of movement. While a world without cars might seem unimaginable, cities globally are strategically transitioning … Read more
Every individual, regardless of age or economic status, can play a crucial role in shaping a sustainable future. In Viladecans, a gamified co-design process is recommended to turn this vision into reality. Challenges of an aging population, energy poor buildings, and coastal climate change vulnerability may be aligned with public program priorities to adapt Viladecans’ … Read more
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
This exercise undertakes developing a shortest path simulation on varied terrains. Starting with basic point-to-point movements, I integrated agent behavior, enabling these agents to make decisions and take actions to move towards the destination point by choosing the best available option. The development of the simulation follows agent movement behaviors from two separate algorithms: Movement … Read more
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
Introduction Known for its fashion, history, and culture, Milan also faces a pressing environmental issue: it stands as one of the most polluted cities in the World. The challenge of mitigating air pollution in Milan is complex, as it is shaped by a mix of geographical, meteorological, socio-economic, and cultural factors. From the city’s dense … Read more
The aim of the project was to redesign the Placa dels Enamorats and achieve the desired objectives: To identify challenges as well as positive aspects on the site, but also have a framework on which to base any design decision, several methods for gathering data were used. These methods allowed us to capture the essence … Read more
Music is visualized everyday – but is there any accuracy to its representation? Can sound be accurately represented? If so, what does it look like? How is accuracy measured? While not fully satisfied with the answers found to these questions, Python’s mido package shed light on the how sound and color may be linked through … Read more
