Eirunn Kvalnes
eirukval@khio.no
+47 938 73 653
Kunsthøgskolen i Oslo
Fossveien 24
0551 Oslo
Context and affilation
Ways of Writing is a PhD project wirhin artistic research, affiliated with the department of graphic design and illustration at the National Academy of the Arts in Oslo. The project is supervised by Ane Thon Knutsen (KHiO) and Arja Karhumaa (Aalto University).
Upcoming activities
Past activities
The Norwegian Artistic Research School - NTNU Trondheim. October 2024
School For Poetic Computation NYC. Summer 2024
London Centre for Book Arts.
August 2024
The Norwegian Artistic Research School
April 2024
The Norwegian Artistic Research School, Bergen
September 2024
Ways of Writing investigates how designerly approaches might be used to reflect upon the relationship between language, writing and emerging digital technologies. More specifically, and as a point of departure, the project engages with different gestures of writing through hands on experiments with machine learning models, datasets and archives.
This website seeks to collect material from the process. The shape and form of this space changes as the shape and form of the project also changes.
1. Artistic research is a field of research that is practice-based, where the artistic practice itself is considered as central to knowledge production. A basic principle of practice-based research is that not only is practice embedded in the research process but research questions arise from the process of practice. Read more about artistic research at KHiO here.
2. The project is situated within the field of graphic design.
3. This project primarily focuses on digital technologies within Natural Lanugage Processing, which is a field within artificial intelligence concerned with text. The purpose of this technology is to help computers understand, interpret and manipulate human language.
4. In this project, writing is approached from a visual and material perspective.
5. More specifically, these experiments explore the different processes that text go through when used in machine learning. How is written language translated into data? What happens to langauge in this process? What does the process of creating a machine learning dataset look like? How do computers see and understand langauge different from humans?