Overview
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Explore the cutting-edge world of generative design in Nike's Innovation Department through this 22-minute conference talk by Lysandre Follet, Director of Generative Design. Delve into the intersection of design, digital craft, and science as Follet discusses co-creation with computers and the potential of algorithms to augment human creativity. Learn about Nike's journey in embracing generative design, the importance of data science, and how constraints and variations play crucial roles in the design process. Gain insights into the future of product innovation and the paradigm shift towards algorithm-driven design in the sportswear industry.
Syllabus
Introduction
Deep Blue
Algorithm
Nike History
Sample Size
Data Science
Generative Design
Constraints
Variation
Taught by
awwwards.
Reviews
4.5 rating, based on 2 Class Central reviews
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Nike’s Generative Design approach within its Innovation Department is a powerful example of how technology and creativity can merge to push performance boundaries. By using computational design tools and data-driven algorithms, Nike is able to create products that are lighter, stronger, and more sustainable. What stands out is how athlete data directly informs design outcomes, ensuring function leads form. The process feels futuristic yet purposeful, reducing material waste while maximizing efficiency. It reflects a forward-thinking mindset that blends engineering precision with bold aesthetics. Overall, Nike’s generative design strategy showcases how innovation can redefine modern sportswear development.
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It is very interesting and informative on how to enhance the athletes' performance with new creations using the algorithm's help.