Syllabus

Credits: DataTHINK 2025.

Description

Digitalization and AI have become ubiquitous and pervasive, shaping the ways we think, design, and experience our urban environments. As the fields of architecture, urban history, design, and social sciences grapple with these rapid changes, we see an urgent need to engage critically and proactively with these transformations—assessing both the limitations and the potential of emerging digital tools and practices.

 

This new edition of the Datathink block seminar, involves lectures, presentations, visits, and a collaborative hackathon. Participants will work with theme-oriented scenarios and urban visual data in hands-on and participatory sessions. The seminar will highlight how AI, machine learning, and advanced digital infrastructures can be harnessed more responsibly, with an emphasis on governance, spatial justice, and citizen participation.

 

The seminar is co-organized by Digital Visual Studies (a Max Planck Society project hosted at the University of Zurich), the UNESCO Chair in Urban Landscape at the University of Montreal, and the Institute for Advanced Architecture of Catalonia (IAAC) in Barcelona.

 

Exercise

The aim of the workshop is to question, support, and assess a VLM for urban studies.

The workshop is organized in three consecutive sessions: Ai & cities, Visual Urban Studies and Urban LLM that together support the model’s tuning. More precisely, the first day functions as a general introduction and warm up, the second day discusses the set of questions to tune the VLM, the third day provides feedback on the current state of the model via participant’s personal experience of the cities. In this regard, participants are invited for the duration of the seminar to make a photo campaign of the city and document urban conditions that are relevant to discuss.

Keywords
Artificial Intelligence, Tech Governance, Visual Language Model, Multimodal Urban Studies.


Faculty


Projects from this course

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: