Big Data in Communication Research: A contextual turn? – An IAMCR pre-conference (Zoom) https://iamcr.org/beijing2022/big-data Date and time Friday 8 July 2022: | 09:00 – 18:00 (Beijing time) ; 01h00 – 10h00 (UTC)| Description 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. Participation and registration Participation at the event is free of charge, but registration is compulsory. Please use the following link to register by 5 July 2022 (extended deadline). https://ucph-ku.zoom.us/webinar/register/WN_mZ3UHsrBQbuFjKtOHxPDgg Keynotes and programme Keynote Speech 1: Friday, 8 July 2022 09:15 – 10:15 (Beijing time)| 01h15 - 02h15 (UTC) Computational communication research: Challenges and opportunities Cuihua (Cindy) Shen, University of California, Davis, USA; Chair, Computational Methods Division, the International Communication Association (ICA). Keynote Speech 2: Friday, 8 July 2022 16:50 – 17:50 (Beijing time) | 08h50 - 09h50 (UTC) The Power of Babel: How the neglect of linguistic and cultural diversity undermines the advance of computational communication science Christian Baden, Hebrew University of Jerusalem, Israel. The detailed programme is available here: https://iamcr.org/sites/default/files/big_data_preconf2022.pdf best, Jun Associate Professor Department of Communication, University of Copenhagen Karen Blixens Plads 8, DK-2300 Copenhagen S Denmark The Danish Independent Research Fund’s Research Leader 2021, https://tech-in-movement.ku.dk/ **********************************************************