Photo Credit: Latent Studio by Alberto Carronovo, Final Thesis MACAD 22/23
Intro Description & Structure
In an increasingly digitised world, harnessing the power of algorithms at various scales related to the built environment is not just an option but a necessity. This thesis cluster gathers research themes that explore the relevance of algorithmic design and artificial intelligence in the evolving landscape of the AEC.
While artificial intelligence is top of mind these days, it is important to question its format, processes and meaning associated with the domain of architecture: the conception and materialisation of man-made space. Students will propose and examine how computational processes can lead to innovative and intelligent solutions to present problems pertaining to the built space.
Students’ work may involve the collection, or creation of vast amounts of data that can support predictive modelling processes to enhance architectural design. Parametric design as well as artificial intelligence and machine learning processes are explored as tools to enhance architectural creation, behaviour and performance.
The thesis projects developed in this topic create advanced computational processes and innovative approaches to digital model interaction, ultimately leading to increased efficiency, transparency, and performance in the built environment.
Photo Credit: LAY IT OUT by Sara Kessba and Jana Semaan, Generative Planning MaCAD 22/23