Data capturing, analysis and processing are nowadays a dominant mode of information production and consumption that represent our physical world in numbers and complex networks. The advent of computational systems has not only helped in developing data production but also in transmitting data between different disciplines including architecture through fields of numbers/codes. Historically, numbers and proportions played a vital role in architectural production, now; the complex flow of data is opening unexpected territories for architects.
Data Flow is an advanced computational design workshop that focuses on capturing, processing and utilizing real time data from the surrounding environment by means of physical computing and parametric design tools, enabling the participants to develop informed design solutions that adapt to the environment. The workshop knowledge objective is to reconsider abstract data as a design opportunity by developing the quantitative flow of data as a qualitative design approach.
Participants will be introduced to a set of digital tools including but not limited to Rhino, Grasshopper, Arduino and Kinect. No prior knowledge of these tools is required.