An Introduction to Multimodal Methods for Researching Digital Data – 17th January 2013

Aim and focus

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


10.30    Introduction
Key concepts for multimodality, Gunther Kress
Theoretical and methodological perspectives on multimodality, Carey Jewitt
13:00   Lunch
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
17:00    Close

University of Manchester – Room 1.69/1.70, Humanities Bridgeford Street, M13 9PL

This training session is free to attend but places must be booked. Please visit our online booking site or contact Anna Waring.

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