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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: MaCAD 22/23 ACESD Theory
The ACESD Theory seminar will present a range of design strategies and research experiments that more closely link environmental phenomena such as air movement and quality, sound, light, temperature, to human experience and behaviour, use of energy, emissions and waste from buildings, and circular material economy seeking in various ways to address aspects of this challenge in architecture and designing.
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