Needles: 5mm / US 8 / UK 6 80cm/32” circular needles (or size to obtain gauge)
Gauge: (Per 10 cm / 4” after blocking)
19 stitches x 26 rows in stockinette
Gauge is not extremely critical in this project - deviations are possible, although a row gauge of more than 26 rows per 10cm/4” will result in a smaller circumference, possibly making it too short to wrap double.
Size: Pattern as based on recommended gauge results in a scarf with a 150cm/59” circumference and 60cm/24” width.
Notions: Second 80cm circular needle (same needle size or smaller) for kitchener stitch (and provisional cast on, if using spare cable method)
Crochet hook for provisional cast on, if using crochet hook method
Stitch markers or waste yarn in various colors
highlighter (for marking completed rows on printed charts)
Colored pens/pencils for delineating charts
Tapestry needle
Tape measure
Techniques : Provisional cast on
kitchener stitch
knit and purl textures
1x1 cable twist (no cable needle needed)
2-strand intarsia (no bobbins needed)
simple lace (yo & k2tog)
It is part of an ongoing series of knitting patterns integrating algorithmic computing and digital aesthetics with knitwear design, which I call Algorithmic Knitting Design. The patterns being developed under this project implement mainly standard, even basic techniques, but challenge the knitter with large, complex and non-repeating patterns. As knitters, I think it’s interesting to re-consider and recontextualize our own craft and unique skill sets. The project strives to approach knitting as a form of applied science and mathematics, and takes advantage of your wonderful skills as a knitter, whether a beginner, intermediate, or master knitter. <3
Cellular automata are dynamic non-linear algorithms which create emergent textures that evolve over space and time. They are used to study complex processes in a variety of fields, including biology, chemistry, sociology, computer science, and more. The texture of this scarf is based on multiple cellular automata, and was created in collaboration with artist and researcher Stelios Manousakis.
