Graphic Design in the Post-Digital Age examines the challenges and opportunities in the wake of the rapid rise of creative coding within a growing community of designers opting to make their own design tools. This comprehensive overview covers educational approaches in design programs and the historic and economic contexts of programming in graphic design, as well as the implications surrounding the integration of coding with design.

The first part contains a more academic account of the research, while the other is an exploration of the multiple possibilities, a field of experimentation for machine learning (ML) where algorithms select, rewrite and reformulate texts based on conceptual «Sessions.»

We approached the project with the questions: What can an algorithm understand in a given text? What new interpretations can the reading of a text generated by automation provide? How can different approaches to a text be reformulated? Technically, this publication is based upon the classic Latex technology of Donald Knuth and is related to the contemporary technology of machine learning. Each paragraph has been analyzed through machine learning, and, after a source in Latex is created thanks to a PHP interface, a PDF is generated. Additional commentaries and a part of the glossary have also been generated by the same process.

Video: Kairos Studio GmbH

Photography: Raphaëlle Mueller (HEAD – Genève, HES-SO), Kairos Studio (Flavio Leone)