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.
The growth of cities on an urban level has been very random and often scattered due to several reasons, like; UNDPREDICTABLE URBAN GROWTH, DYNAMIC ZONING TRENDS and SHIFTING DEMANDS. This has led to the cities being have to be planned reactively rather than proactively. This has led to a problem of cities being inefficient, rising … Read more
Cities are complex systems where accessibility to essential services—such as healthcare—can directly affect quality of life and emergency response outcomes. Traditional urban maps often show where services are located, but they rarely communicate how accessible these services are in real, everyday conditions. The This project explores how computational design tools can be used to analyze … Read more
As part of the Urban Data course, the main goal was to create an interactive dashboard in Python to visualize multiple dataframes. We wrote a proper Python file and ran it locally with VS Code. US Fast Food Restaurant Dashboard combines a population dataset and a US fast food restaurants dataset. Several visualization methods have … Read more
Context This dashboard explores how real‑time tweets about disasters can be read against a global catalogue of events such as droughts, earthquakes, and eruptions between 2010 and 2025. By combining these two layers, the project asks how public, noisy, bottom‑up signals might complement slower institutional data in climate‑driven risk scenarios Framing the question Over the … Read more
An Intelligent, Shape-Shifting Sound Control System 01 | Project Abstract Acoustic Skin is an acoustic panel that morphs its surface geometry in real time to control the way sound interacts with the environment. It uses an array of miniature pistons embedded in a felt-covered membrane, behaving like a living, breathing skin that adapts its texture … Read more
