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Kinectoscapes: Architecture of Performative Intelligence
Interactive Design | Online Workshop | English | North-South Americas
Description:
Key Words: Performative Architecture,Intelligent Adaptive Architecture,Cyber-Physical Spaces,Programmable Design
Required Skills: Rhino and Grasshopper (beginner)
Required Software: Rhino, Grasshopper, Tinkercad (online free software)
Required Hardware: Computer
Maximum number of participating students: Active Participating Students: 16
The fourth industrial revolution is characterized by a fusion of technologies that blur the lines between physical, digital, and biological spheres—collectively referred to as cyber-physical systems. In contrast to traditional physical environments, cyber-physical spaces often exhibit dynamic behaviors: they can change over time and retroactively respond to spatial environmental stimuli. Such adaptive quality can be enhanced through IoT and related computation technologies and thereby enhance the environmental quality of buildings, optimize resources use, and promote a more flexible human-centered design.
The Kinectoscapes workshop offers its participants the opportunity to learn about responsive architecture and building adaptation to human and environmental stimuli. Since environmental factors (e.g. lighting and temperature), as well as user characteristics and needs, are in constant fluctuation, a dynamic architecture needs to predict these changes and respond to them through pre-programmed behaviors. The most common type of responsive behavior system, which is the focus of this workshop, involves reversible geometrical transformations where the architectural element has self-adjusting capacities through a combination of robotized mechanisms, sensory environment, and material programming.
By adopting a multidisciplinary approach, the workshop integrates architectural design thinking with algorithmic and programmable solutions. The workshop will start with the introduction of the topic and its theoretical framework. In close collaboration with the instruction team, participants will learn related material, processes, and current state of the art in responsive architecture. They will design an adaptive system and train their design elements to sense and perform specific responses to variables such as temperature, light, human motion, etc. Participants will also learn about the design processes involved in dynamic automation, material programming, sensory environment, and intelligent behavior. Participants will be expected to continue their design research between workshop sessions. All final designs will be presented at a review session and will be posted on an online catalog.
Schedule:
Jun 27 - Jul 2
  • Day 1 / Jun 27

    10:00 - 13:00 (GMT-7:00) Pacific Time (US and Canada)

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    13:00 - 16:00 (EST)

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    19:00 - 22:00 (CET)

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    01:00 - 04:00 +1 (China)

    Introduction to theory and framework of performative architecture | Q&A + Discussion | Work session
  • Day 2 / Jun 28

    10:00 - 13:00 (GMT-7:00) Pacific Time (US and Canada)

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    13:00 - 16:00 (EST)

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    19:00 - 22:00 (CET)

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    01:00 - 04:00 +1 (China)

    Initial Design | Intro to use Grasshopper for adaptive system mechanisms
  • Day 3 / Jun 29

    10:00 - 13:00 (GMT-7:00) Pacific Time (US and Canada)

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    13:00 - 16:00 (EST)

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    19:00 - 22:00 (CET)

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    01:00 - 04:00 +1 (China)

    Design development and digital models | Work session
  • Day 4 / Jun 30

    10:00 - 13:00 (GMT-7:00) Pacific Time (US and Canada)

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    13:00 - 16:00 (EST)

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    19:00 - 22:00 (CET)

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    01:00 - 04:00 -29 (China)

    Design development and Animation making | Work session
  • Day 5 / Jul 1

    10:00 - 13:00 (GMT-7:00) Pacific Time (US and Canada)

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    13:00 - 16:00 (EST)

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    19:00 - 22:00 (CET)

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    01:00 - 04:00 +1 (China)

    Intro to programming and sensory environment | Q&A + Discussion | Work session
  • Day 6 / Jul 2

    10:00 - 13:00 (GMT-7:00) Pacific Time (US and Canada)

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    13:00 - 16:00 (EST)

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    19:00 - 22:00 (CET)

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    01:00 - 04:00 +1 (China)

    Final Review
Instructors:
  • Mona Ghandi Washington State University,Assistant Professor of Architecture, Director of Morphogenesis Lab
    Mona Ghandi is a designer, assistant professor of architecture, and the director of Morphogenesis Lab at Washington State University. Her interdisciplinary research focuses on the Architecture of Emotive Intelligence which explores an empathetic relationship between the human and the space using affective computing. She examines the role of Artificial Intelligence, machine learning, robotics, and adaptive architecture in creating smart spaces that can learn from the user’s behavioral patterns in real-time and enhance environmental quality. Her work has been recognized with several awards, with the last one from the Vilcek Foundation Prize for creative promises in architecture and has been funded by the National Science Foundation (NSF), National Institutes of Health (NIH), Autodesk, and IAAC to name a few. Her work was exhibited in different national and international exhibitions such as the Venice Biennale of Architecture, Bellevue Arts Museum, Melbourne Design, Trisolini Gallery, and Latrobe Regional Gallery Hub.
  • Maryam Mansoori Washington State Univerity,Lecturer
    Maryam Mansoori is a lecturer at the School of Design and Construction, Washington State University. Her interdisciplinary scholarship sits at the intersection of architectural design, and material technologies. She specializes in the application of smart materials and geometries for adaptive architecture—buildings that are designed to respond to their environments. Maryam’s recent research has been supported by the National Science Foundation (NSF) grants. Her professional experience includes projects in the US and abroad. Her works have been published in several journals and conference proceedings including a book chapter in Digital Wood Design. Both her design and research projects have been showcased in national and international exhibits and conferences including Los Angeles (2014), MIT, Boston(2017), Tsinghua University, Beijing (2018), Lisbon, Portugal (2018), and Lewiston, Idaho (2020). Maryam’s PhD at Texas A&M is on responsive architecture; she received her master in architecture on Dynamic Future Environments from the University of California at Los Angeles.
  • Marcus Blaisdell Washington State University,Research Assistant
    Marcus Blaisdell is a Machine Learning Data Scientist with a BS in Computer Science from Washington State University. He has conducted research in emotion prediction with biometrics in Morphogenesis Lab at WSU and has experiences in smart spaces, physical computing, and Human-Computer Interaction. His interests are in Data Science, Artificial Intelligence, and Robotics.