IAAC’s Master in AI for Architecture & the Built Environment is a unique program oriented towards leading the change in decarbonising human activities and crafting a more sustainable, resilient future urbanisation for our planet. Through an innovative curriculum deeply rooted in AI applications, the program pioneers novel AI-driven solutions that not only respond to the pressing challenges of our time but also set a new standard for environmentally and socially conscious co-design and planning. The Master in AI for Architecture & the Built Environment is training the professionals that city administrations, governments, industries, and communities need, to transform the built environment in the era of digital technologies.
The global agricultural system is facing a severe crisis. Currently, agriculture is responsible for consuming a staggering 79% of global freshwater. Despite this massive consumption, the process is highly inefficient, with 60% of irrigation water being lost. Furthermore, modern farming relies heavily on chemicals, seeing a 70% increase in pesticides, while an estimated 40% of … Read more
GigAI: An Event-Driven Coordination Execution Layer for Construction Project Management Team: Martina Simoni · Sumit Sudhir Shingne · Rafik El KhouryFaculty: Marita Georganta & Akshay Madapura Project managers spend more than half their time chasing information that no plan ever scheduled. We built GigAI to fill that gap — the coordination execution layer that sits between planning, … Read more
Veil of Timber explores the transformation of a parametric pavilion into a detailed, data-driven BIM system. By integrating computational design and metadata with the help of grasshopper and real-time visualisation using Speckle and Power BI. The project bridges geometry and data to enable querying, analysis, and informed decision-making. Overview The pavilion is a parametric system … Read more
This project explores a robotic system that translates digital vision into physical matter through the constraint of continuity. Rather than behaving like a conventional plotter that freely lifts and re-positions its pen, the system confronts a more complex challenge: it must interpret image topology and compute a path that allows the entire drawing to be … Read more
PROBLEM: Current urban investment decisions, particularly in social housing, are largely based on financial feasibility studies, static socio-economic indicators, and ESG-style metrics that fail to capture how people actually experience and use space and often overlook real-time behavioral dynamics: how people move, engage with space, perceive safety, or interact socially. In dense metropolitan environments like … Read more
