KNIT+ is an innovative project launched in AMFI by the Amsterdam University of Applied Sciences – Center for Economic Transformation, in collaboration with the Wearable Data Studio, Studio Shoon, Cypher Studio and Team Thursday, that offers a unique and eco-conscious approach to fashion.
At the heart of KNIT+ is the NewTexEco Living Lab, where the advanced technology of the Shima Seiki Whole Garment Knit robot produces garments in full 3D, meaning the clothes come out of the machine in one seamless piece, reducing material waste and the need for post-production processes, enhancing both efficiency and sustainability, reflecting the project’s commitment to minimizing the environmental impact of fashion.
Looking to the future, KNIT+ aims to take personalization to the next level. The project envisions a time when customers will be able to co-design new , tailoring pieces to their unique preferences. By prioritizing circular fashion practices, the project emphasizes the importance of reusing garments, aligning with the group’s broader goals of promoting sustainability in the fashion industry.
Studio Shoon – Approximity Tests
Hsiang-Lin
To make these pieces, Hsiang-Lin explored the storytelling potential of low-resolution imagery in textiles. Through two-color jacquard knits and techniques like inlay and gradients, she investigates how physical and emotional distance influences how we interpret and assume. Her work raises questions about what can be lost, imagined, or biased when details are unclear, while also exploring how knitted structures can enhance or complicate these perceptions, offering a deeper reflection on ambiguity in visual communication.
Team Thursday – layer layer
Loes van Esch, Simone Trum, Saskia van der Meer
With this design, Team Thursday explores the combination of the flat, graphic surface and the spatial shape and textures of textile. They translated a simple form into a extended pattern, by filling in layers with layers, and using the characteristics of the knitting technique and yarns.
Cypher Studio – Cryptique
Gianni Antonia, Omar van Dok
‘Cryptique’ displays a generative visual language derived from human perspectives on the future. Instead of rationalizing its concept, it poses a question: What is worth bringing with us as we venture forward? On a deeper level, it raises the question of why we need to possess things at all. Through binary code, all responses to such questions are directly translated into knitted patterns—creating a data- responsive collection for future reference.