Description:
Key Words:
Generative design,Deep learning,Urban design,InFraReD
Required Skills:
Rhino (Beginner), Grasshopper (Intermediate)
Required Software:
Rhinoceros 3D, Grasshopper
Required Hardware:
Windows PC
Maximum number of participating students:
30
This workshop focuses on AI-driven, performance based urban design. Through a studio-like format, this workshop aims to take participants with little to no experience of artificial intelligence, to applying state-of-the-art models to urban-scale issues. While there may exist tools and s+imulation engines used to evaluate urban designs, they are seldom applied in practice. A major reason for this is the high barrier to entry, both in terms of the required expert knowledge to set up the needed environment and model, as well as the high transaction costs of integrating multiple of such models into practical urban design workflows.
The Intelligent Framework for Resilient Design (InFraReD) seeks to change that. InFraReD is a web-platform for intelligent and resilient urban design. The backbone of machine learning models can provide real-time feedback on the solar, sunlight and wind performance of designs and guide decisions at every step of the process. Leveraging the speed and accessibility of InFraReD linked to Grasshopper, participants will explore AI in urbanism within a sandbox model of an urban quarter.
In the studio format, we will form teams that will work on a real-world urban development case study. The teams will develop their concepts using InFraReD, along with external optimization and exploration tools. Throughout the studio lectures by experts in urban design and design optimization will accompany the students' work. conclusively, a panel of distinguished professionals will review the final design proposals.