MERCADO is a half-day workshop at IEEE VIS 2023 <https://ieeevis.org/> on the topic of new Multimodal Experiences for Remote Communication Around Data Online, taking place October 22nd or 23rd in Melbourne, Australia. https://sites.google.com/view/mercadoworkshop/home Update (Jun 8): the deadline for workshop submissions is July 15 2023 (EoD anywhere on Earth) We aim to gather researchers working in data visualization, human-computer interaction (HCI), and computer-supported collaborative work (CSCW) who are interested in multimodal, synchronous, and remote or hybrid forms of communication and collaboration within organizational and educational settings. CALL FOR PARTICIPATION If you have been working on designing new ways to communicate, present and tell stories about data synchronously or asynchronously, using visualizations and new modes of interaction for presenters, please consider sharing your experiences at this workshop. SUBMISSIONS Those who want to participate in this workshop will submit a short paper (two to four pages) in the style of short provocation or reflection statements, case studies, design fictions, or work-in-progress reports. We will also encourage the submission of accompanying videos. We will host accepted submissions on the workshop’s website, however will we also encourage authors to archive their publications using open access services. Please see the call for participation for details and a timeline of important dates. The proposal for this workshop is available at https://arxiv.org/abs/2303.11825. IMPORTANT DATES All deadlines are at 11:59pm (23:59) AoE Anywhere on Earth - Submission deadline: July 15 2023 via PCS (deadline extended) - Notification: August 5 2023 - Camera-ready deadline: September 5 2023 - Workshop: October 22 or 23, 2023 ORGANIZERS - Matthew Brehmer, Tableau Research, USA - Maxime Cordeil, University of Queensland, Australia - Christophe Hurter, ENAC, University of Toulouse, France - Takayuki Itoh, Ochanomizu University, Japan CONTACT mercadoworkshop@googlegroups.com