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Within the current global context of rapid change, integrated with the potentials of digital technologies, IAAC’s Master in AI for Architecture and the built environement (MaAI01) is committed to the generation of new ideas and pioneer novel AI-driven solutions applications for the fields of Urban Tech, Smart Construction and Natural Ecosystems. The three transversal objectives of the program are Regenerative Design, Carbon Neutrality and Co-Design Processes.
In this context IAAC and the MaAI works with a multidisciplinary approach, integrating computational design, rapid prototyping, machine learning, data science, and generative AI implementing sustainable practices at an unprecedented scale. Facing the challenges posed by our environment and the future development of cities, architecture and buildings, through a virtuous combination of technology, biology, computational design, digital and robotic fabrication, pushing innovation beyond the boundaries of a more traditional architectural approach.
Course: MAA01 23/24 Assembled Architecture Seminar
Assembled Architecture explores the dual geometrical/topological computing nature of spatial systems, from basic iterative logics explored through Grasshopper and the Anemone plug-in, to more sophisticated network-based and topology-based stigmergic strategies, using both standard and bespoke components. This seminar focuses on assembly/growth processes, investigated through iterative algorithmic strategies, and applied to an urban-block size architecture starting from elementary spatial building blocks.
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