Thesis Research Introduction
Generative design is the use of algorithms to automate or optimize parts of a proposed creation. Generative design itself can be viewed as a form of meta-design: where the creator does not design the object itself, rather the parameters or system that define the design. This is inherently more difficult than designing itself, because it necessitates comprehensive understanding, communication, and distillation of the development process down to actionable decisions. Yet, the white spaces for these robust systems in creative industries are staggering- demonstrated by architecture’s longstanding fascination with parametricism, engineering optimization of structural components using simulations, and athlete performance maximization through machine-designed footwear.
Generative design tools present opportunity within the footwear industry beyond structural and formal elements: using data gathered from multiple streams, product creation can be tailored to individual consumers. This ushers in a new era of bespoke design- entirely automated. Additionally this presents attractive business benefits as production happens on a one to one scale, preventing excess production and material sourcing.