Update: This was initially planned as a hybrid pre-conference. On 16 May Xi’an Jiaotong-Liverpool University (XJTLU) in Suzhou, host of the pre-conference, announced that due to a recent outbreak of COVID 19 in the city the conference will be online only. The detailed pre-conference programme is available here.
Friday 8 July 2022: | 09:00 – 18:00 (Beijing time) ; 01h00 – 10h00 (UTC)|
Recent advances in communication studies have seen much greater attention paid to the development, appropriation, and reflection on computational methods for analyzing large and heterogeneous data. Despite its considerable contributions, big data analytics has been criticized for the lack of contextual consideration for a long time. In other words, scholarships with computational methods may suffer from the pitfall of not unpacking, recognizing, and theorizing the richness of associated contextual elements in (big) data. This preconference aims to address such issues by advancing a context-aware approach in computational methods and by articulating an interrogation of contextual elements in using computational methods. A context-aware approach in computational methods is particularly valuable to IAMCR as a worldwide professional organization in the field of media and communication research, as this approach recognizes a reality where people communicate in diverse ways against different contexts.
To acknowledge and explicate such context-bound ways plays a crucial role to explain variation in communication practices and networks, and to appreciate the plurality of communicative phenomena across the globe.
An online Zoom conference.
Participation at the event is free of charge, but registration is compulsory. Please use the following link to register by 1 July 2022.
https://liverpool-ac-uk.zoom.us/j/2304061092?pwd=OGlzby9DU3FiaHQ5bjhUdTdZT2RYQT09
Meeting ID:230 406 1092
Code:iamcr2022#
The detailed programme is available here.
For inquiries, please email: iamcr.compmeth [at] gmail.com
English will be the event's working language.
In collaboration with Cuihua (Cindy) Shen, Department of Communication, University of California, Davis, & Chair, Computational Methods Division, the International Communication Association.
With the support of the Computational Methods Division of the International Communication Association and the Independent Research Fund Denmark Sapere Aude Research Leaders Project (1055-00011B).
iamcr.compmeth [at] gmail.com