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.

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URBAN-Ai: AI based forecasting platform that predicts evolution of urban density and land-use.

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

GG Worlds [v.2]

Introduction: From Words to Worlds Game design is one of the most creative fields in digital media today but for most developers, turning ideas into immersive worlds remains slow, expensive, and overwhelming. Especially for independent creators, level design, the art of shaping the physical and emotional journey of a player, is often the most demanding … Read more

Flood Impact Mapping along the Turia River, València – Flood of 2024

When torrential rain dumped an entire year’s worth of water on Valencia in barely eight hours on 29 October 2024, the Turia spilled over its banks, submerging citrus groves, highways and whole neighbourhoods. More than 200 lives were lost, hundreds remained missing and Spain faced its worst flood disaster in recent history. Events like this … Read more

Green Liminals: Feasibility Study for AI-Driven Budget Optimization for Urban Sustainable Solutions

Abstract The project explores innovative ways to address Barcelona’s sustainability challenges, such as carbon emissions, air pollution, and energy inefficiency. By leveraging AI, IoT sensors, and Nature-Based Solutions (NBS), the project aims to optimize municipal budgets for interventions that transform underutilized urban spaces into productive assets. The study highlights solutions like urban farming, greenery, and … Read more