Visual and Multimodal Research Forum – 10th Nov
The Visual and Multimodal Research Forum is a student run platform for academic discussion on multimodality and open to all postgraduate research students and other researchers at UCL Institute of […]
The Visual and Multimodal Research Forum is a student run platform for academic discussion on multimodality and open to all postgraduate research students and other researchers at UCL Institute of […]
Where the transcript was published Tomlinson, M.M.(2013). Transformational and transmodal redesign in children’s music invention: An exploration using the space of music dialogue (Unpublished doctoral thesis). Griffith University, Queensland, Australia. […]
Where the transcript was published Duffy, S., & Healey, P. G. T. (2013). Using Music as a Turn in Conversation in a Lesson. In Proceedings of the 35th Annual Conference […]
Browse our training and events programme on how to do multimodal research and analyse digital data.
Watch our suite of video guides in which we introduce multimodal perspectives on digital and online environments, moving image and digital film production, embodied cognition and interaction and face-to-face interaction.
This strand of MODE activity attends to the development of innovative multimodal methods for harnessing types of data that new technologies make available for social research purposes; multimodal processes and […]
This strand of MODE activity will develop multimodal methods that account for how digital technologies disrupt and reconfigure concepts of time, place and space and its effect on data collection […]
This strand of MODE activity focuses on the manner in which digital technologies produce data and responds by developing multimodal methods which support transcription, re-representation and dissemination of digitally generated […]
This strand of MODE activity focus on the role of embodiment in digital interaction and cognition, with a particular focus on the use of mobile technologies and ubiquitous (including sensory […]
It is central to this strand that the MODE team is interdisciplinary in character. Its members are drawn from sociology, computer science, psychology, semiotics and linguistics, cultural and media studies, […]