sterclass & Guest Lecture: The Languages of Comics, with Dr Neil Cohn & Dr Charles Forceville
presented in conjunction with Amsterdam Comics
Date: 2 June 2017
Venue: Unversity Library – Potgieterzaal. Singel 425, Amsterdam
Open to: PhD Candidates and RMa Students
Credits: 1 ECTS
Coordination: Amsterdam Comics, RMES, Dr Erin La Cour and Rik Spanjers MA
“The Languages of Comics” Masterclass & Lectures
Amsterdam Comics is pleased to announce the third installment of the Masterclass and Guest Lecture series with “The Languages of Comics,” led by Dr Charles Forceville and Dr Neil Cohn. The workshop will engage students in the mechanics of visual language theory, and the practice thereof. The program consists of two lectures and a masterclass. The lectures will familiarize participants with the research of Dr Charles Forceville and Dr Neil Cohn. The masterclass will allow students to do some analyses themselves based on material provided by the lecturers.
10.00-10:15 – Registration
10:15-11.15 – Lecture by Dr Charles Forceville
11.15-11.30 – Coffee break
11.30-12.30 – Lecture by Dr Neil Cohn
12.30-13.15 – Lunch
13.15-15.00 – Masterclass: The Language of Comics
Chairs: Dr Erin La Cour & Rik Spanjers MA
“Representation and metarepresentation of thoughts, speech, and sensory perception in comics”
Dr Charles Forceville
University of Amsterdam
Comics draw on the visual and the verbal modality, making it a thoroughly multimodal medium. A central strand of comics research is partly or wholly inspired by cognitive linguistics and relevance theory (e.g. Yus 2008, Kukkonen 2013, Cohn 2013, Forceville 2005, 2011, 2013, Forceville and Clark 2014).
The Visual Language of Comics
Dr Neil Cohn
Drawings and sequential images are an integral part of human expression dating back at least as far as cave paintings, and in contemporary society appear most prominently in comics. Just how is it that our brains understand this deeply rooted expressive system? I will present a provocative theory: that the structure and cognition of drawings and sequential images is similar to language.