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| Data | + | Design |

Data-driven Footwear Design

Individual Work

Advisor: Onur Yuce Gun
# Python, Rhino, Grasshopper

This workshop aims to re-formulate the shoe as a “field” as opposed to an “object” and generate a variety of out-of-the-ordinary design concepts. We will arrange a quick (optional*) tour of the NB production facilities to understand how a shoe’s parts are put together, to witness present day methods for piecing together whole shoes from a combination of discrete parts. We will then “unlearn” immediately via diving into data-driven generative design models to start exploring shoes that come to life as wholes.

The hands-on experimentation, visualization, and digital prototyping (3D printing) efforts will yield a collection of shoes as (various, harmonious, contradicting!) fields. We will bring in data that is meticulously collected at New Balance’s Sports Research Lab. We will run skill-building sessions in which data-processing methods will be shown. The rest will be about expanding the design concepts that develop upon performative, aesthetic and manufacturability considerations. 

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