During the Master in City & Technology + Thesis Project, students have the unique opportunity to work for an additional time of 9 months on an Individual Thesis Project, focused on the development of one research or pilot project based on the student’s interest. IAAC supports the student in selecting their Thesis Project topic in order to better orient them according to their future career interests and opportunities. Each student is assigned one or more Thesis Advisors that follow the development of the work throughout the year.

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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: