“What can space do?” is a big question that resonates with every architect, practitioner, or design student alike at least once. Everyone may have a personal answer to such a simple question. At its fundamental level, a well-designed space may organize movement, distribute land use, influence crime and safety, affect urban carbon footprint, and determine land value. It becomes evident the word “Space” is such a vast term; therefore, in our workshop, “Space” will refer to the physical construction of architecture as its creator designed it.However, to truly understand space, we must first understand its users – ourselves, as humans. A chimpanzee will not use the art gallery the same way we do. The contradiction has led to our workshop, which will challenge the subjects of Artificial Intelligence, Machine Learning, and various experimental design philosophies concerning how human behavior interprets the architectural body and maneuvers through it.

This workshop will focus on understanding multiple thinking processes and developing iterative algorithms to evaluate circulation within a given space. The class predominantly deals with the dynamics of numbers, probability, and data concerning the flow of people, space measurement, and its integration. The software depends on Rhinoceros and Grasshopper 3D visual programming, making it suitable for design practitioners without experience in coding languages.

During the two-day workshop, the students are expected to discover expansive views of various methodologies and unique thinking processes that get incorporated into our understanding of movement through space from a computational perspective. Moreover, students will be encouraged to formulate their ideas. They will be equipped with new tools to facilitate their ability to tackle challenging design scenarios, aiming to evaluate and create a better space.

• Total sessions: 2 Sessions
• PAACADEMY will provide a certificate of attendance.