Credits: Latent Studio, student: Alberto Carro Novo, advisor: Oana Taut

Intro Description & Structure

The Algorithmic Design I Thesis Cluster is an advanced course that delves into the innovative convergence of artificial intelligence, computational design, and architecture. The cluster aims to revolutionise architectural design by harnessing cutting-edge technologies to create adaptive, resilient, and efficient workflows within the Architecture, Engineering, and Construction (AEC) industry.

Key Research Areas

• Generative Design and AI-Assisted Creativity
  • Explore how AI tools can push the boundaries of architectural imagination.
  • Investigate methodologies for integrating AI into the creative workflow.
• Intelligent Spatial Analysis and Optimization
  • Study computational techniques to enhance building performance.
  • Optimize architectural layouts using AI-driven solutions.
• Data-Driven Architecture and Digital Integration
  • Research methods to extract and utilize architectural data effectively.
  • Integrate AI-generated designs with modern digital practices.
• Next-Generation Architectural Workflows
  • Focus on the incorporation of LLMs into architectural processes.
  • Enhance professional practice through AI-enabled efficiency and collaboration.

Course Objectives

• Empower Creative Exploration of advanced computation technology and AI
• Conceptualize Building Performance workflows
• Integrate Data-Driven Approaches
• Innovate Architectural Workflows

This cluster aims to push the boundaries of what’s possible in architecture, blending cutting-edge technology with design innovation to shape the adaptive and inspiring spaces of tomorrow.