Overview:
Transform your approach to architecture and urban design with our immersive bootcamp, “Designing Human-Centered, Environmentally Perceptive Digital Twins.” This program offers a deep dive into the cutting-edge technologies of digital twins and agent-based models (ABMs), providing you with the skills to create dynamic, realistic models that mirror the complexity of real-world environments.

This bootcamp is a collaborative initiative between IUST+, the innovation hub of Iran University of Science and Technology (IUST), and Morphotect, a pioneering startup specializing in the development of social digital twins. By combining IUST+’s academic excellence and Morphotect’s cutting-edge technological expertise, this bootcamp offers a unique opportunity to explore the intersection of academia and industry in advancing the future of architecture and urban design.

Topics Covered:
– Digital Twins in the Built Environment: Explore how digital twins can simulate and optimize the dynamic interactions within architectural and urban spaces. Understand the importance of these models in planning, design, and environmental impact assessments.

– Agent-Based Models (ABMs): Gain insights into ABMs, a powerful tool for simulating human behaviors and interactions within built environments. Learn how ABMs differ from other simulation techniques and how to apply them to urban design challenges.

– Path/Route Finding and Pedestrian Flow Analysis: Master techniques to optimize pedestrian routes and flow, enhancing accessibility and efficiency in urban spaces.
– Emergency Evacuation and Traffic Simulation: Learn to model emergency scenarios and traffic systems, improving safety and mobility through simulation.

– Vision Tracking and Decision Making: Incorporate advanced techniques such as vision tracking to analyze perception and cognition in urban spaces. Simulate decision-making processes to predict and influence behavior.

– Case Studies: Analyze real-world projects like MIT’s City Scope, pedestrian behavior simulation in the London Underground, and Singapore’s Virtual City to understand the practical applications of these technologies.

Requirements:
– Prerequisites:
– Basic knowledge of computational thinking and problem-solving strategies.
– Familiarity with Rhino, Grasshopper, and Python is recommended but not required.
– An interest in urban design, architecture, or related fields.

Target Audience:
– Urban Planners
– Architects
– Traffic Engineers
– Emergency Management Professionals
– Transportation Planners
– Simulation Experts
– Anyone interested in the future of urban design and simulation technologies

Learning Outcomes:
– Practical Skills: Develop the ability to design, implement, and analyze your own ABM models. Gain hands-on experience with the latest simulation software and tools.

– Advanced Knowledge: Understand how to humanize designs through the integration of realistic human behaviors and interactions in simulations.

– Professional Growth: Enhance your computational thinking and problem-solving skills, and learn how to apply these strategies to optimize urban spaces for safety, efficiency, and inclusivity.
– Certification: Receive a certificate of completion and potentially earn grants based on your performance and project outcomes.

Tools and Software:
– Rhino and Grasshopper for 3D modeling and simulation
– Python for programming and implementing ABMs
– Specialized ABM software for advanced simulation tasks

Schedule:
Part One:
– Introduction to Rhino, Grasshopper, Python, and computational geometry
– Basics of ABMs and their application in architecture and urban planning
– Hands-on exercises in designing and simulating ABMs

Part Two:
– Advanced topics in object-oriented programming, computational geometry, and ABMs
– In-depth analysis, validation, and scaling of existing ABM models
– Case study analysis and project work

Contact Information:
For more information or inquiries, please contact hnazari.8983@gmail.com.

Why Choose Our Bootcamp?
Unlike traditional courses, our bootcamp offers an intensive, hands-on experience. You’ll not only learn the theory but also apply it in practical, real-world scenarios, accelerating your learning and skill development.