It seems we can’t find what you’re looking for. Perhaps searching can help.
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: MaAI 24/25 Natural Ecosystems Design
A REGENERATIVE APPROACH IN A CHANGING CLIMATE
This course offers a theoretically grounded yet practice-oriented exploration of how urban and architectural spaces can be conceptualised primarily for nature, positioning ecosystems, flora, and fauna as fundamental drivers of spatial and infrastructural organisation. Drawing upon regenerative design principles, participants will investigate how the built environment can adapt to climate change, enhance ecological function, reduce overall carbon footprints, and ultimately foster human well-being.