Digital data can provide a rich but also challenging empirical basis for social science research. Multimodality offers theoretical and methodological frameworks for analyzing these data. Focusing on the social interaction captured and/or shaped by digital technologies multimodality attends to all forms of representation and communication, including language, body posture, gaze, and moving image.
This one day introductory course will provide participants with:
- Explications of multimodal frameworks & procedures
- An introduction to the use of key terms and concepts
- Direct experience of analyzing digital data
- Critical discussions of limits & possibilities of multimodal approaches
Who is this training for?
This course is aimed at postgraduate and postdoctoral researchers, early career researchers, and academics who want an introduction to multimodality and with an interest in how multimodal methods can be applied to digital data. No previous knowledge of visual or multimodal research is required
11:00 Key concepts for multimodality, Gunther Kress
12:00 Theoretical and methodological perspectives on multimodality, Carey Jewitt
13:45 Data workshop 1: Researching online texts – image-text relations, principles of compostion, Gunther Kress
15:00 Coffee and tea
15:15 Data workshop 2: Researching physical-digital technologies – manipulation, gesture, gaze and position, Sara Price
16:30 Closing discussion
University of Manchester – Room 1.69/1.70, Humanities Bridgeford Street, M13 9PL