IAAC’s Master in AI for Architecture & the Built Environment is a unique program oriented towards leading the change in decarbonising human activities and crafting a more sustainable, resilient future urbanisation for our planet. Through an innovative curriculum deeply rooted in AI applications, the program pioneers novel AI-driven solutions that not only respond to the pressing challenges of our time but also set a new standard for environmentally and socially conscious co-design and planning. The Master in AI for Architecture & the Built Environment is training the professionals that city administrations, governments, industries, and communities need, to transform the built environment in the era of digital technologies.
Urban Data introduces students to the practice of exploring and analyzing urban data, focusing on how to gather, examine, compare, and communicate geospatial information. The course provides a practical entry point to geospatial analysis using Python, the most widely adopted scripting language in data science, thanks to its accessible syntax and extensive ecosystem of libraries.
Deforestation Raster Map – 2024 The visualization depicts accumulated and annual deforestation patterns in Brazil from 1985 to 2024. The accumulated dataset shows a continuous rise in total deforested areas, reaching over 140 milllion hectares. Annual trends reveal strong fluctuations, with peaks in the late 1980’s and mid-2000’s, followed by decreases and renewed variability in … Read more
In our final exercise of our Urban Data seminar, we were asked to create an interactive web platform, using the python library Dash. Dash allows users to upload and format datasets to be interactive, easily toggling between different data visuals rather than showing static imagery. In personal experience, our group has noted how applicable this … Read more
