Workshop 4

Overview

This workshop explores desert flora strategies—juniper and acacia trees—to inspire AI-assisted adaptive architecture.

• Juniper trees: fractal branching creates self-shading canopies regulating light and temperature.
• Acacia trees: tilted leaves and adaptive orientation reduce solar exposure and maximize dew/moisture capture.

These plant strategies for survival in hot-arid environments will be studied, abstracted, and translated into AI datasets. Participants will train AI models to learn these natural logics and apply them to the generation of parametric shading systems and adaptive façades.

Objectives

• Decode the structural and behavioral intelligence of desert flora.
• Build AI datasets based on branching, orientation, and moisture-harvesting strategies.
• Integrate AI predictions into Grasshopper parametric design workflows.
• Develop adaptive shading prototypes that embody desert resilience.

Format & Schedule

• Format: Hands-on, group-based
• Duration: Full day (6 hours)
• Participants: 20–30
• Schedule:
  • Part 1: Desert Flora as Teachers → Juniper & Acacia adaptations
  • Part 2: AI Basics → datasets from branching, leaf tilt, and orientation
  • Part 3: Parametric Design Integration → AI-driven shading in Grasshopper and Adaptive Shading Prototypes → group outputs + discussion

Audience

• Who should attend: Graduate students, researchers, professionals in architecture, design, urbanism, and sustainability.
• Prerequisites: Basic Rhino/Grasshopper knowledge. AI experience not required (tutorials included).

Expected Outcomes

• Digital prototypes of branching-inspired shading systems.
• Workshop booklet (flora inspiration, AI datasets, design workflows).
• Skills in AI-assisted biomimicry for hot-arid climates.
• Foundation for future research and publication collaborations.

Requirements

• Laptop
• Rhino + Grasshopper installed