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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Questioning ‘Mixed-Use’ Space

What defines a mixed-use space? How do we visually recognise the coexistence of residential, commercial, and public spaces in a city? Can AI perceive these complex urban conditions as we do? This workshop explores how Visual Language Models (VLMs) interact with urban imagery, using street view images to assess land-use patterns. By comparing Barcelona and … Read more

AI for Urban Safety

How can we interpret and analyze urban safety and users’ perception of safety through images of public space? During the DataTHINK Workshop, we delved into a critical analysis of the role of AI in addressing this issue, trying to recreate the processes and algorithmic thinking that take place behind Vision and Large Language Models. First, … Read more

AI for Urban Accessibility

The Data Think workshop successfully gathered insights into how we can assess images of urban spaces and rank them through different indicators. For our group, we saw that different environments impact accessibility and mobility for various demographic groups, including vulnerable populations. By engaging in a ranking exercise using photographs, we identified key factors influencing accessibility: