From owner-chemistry@ccl.net Mon Jan 9 19:14:01 2023 From: "=?UTF-8?Q?Bj=c3=b6rn_Sommer?= bjoern*|*cellmicrocosmos.org" To: CCL Subject: CCL: MolVA 2023 (Conference-only Submissions) - EuroVis 2023 Workshop on Molecular Graphics and Visual Analytics of Molecular Data Message-Id: <-54840-230109174104-9842-U/femb86WBSaHhkuBDcVyQ=server.ccl.net> X-Original-From: =?UTF-8?Q?Bj=c3=b6rn_Sommer?= Content-Language: en-US Content-Transfer-Encoding: 8bit Content-Type: text/plain; charset=UTF-8; format=flowed Date: Mon, 9 Jan 2023 22:40:40 +0000 MIME-Version: 1.0 Sent to CCL by: =?UTF-8?Q?Bj=c3=b6rn_Sommer?= [bjoern-.-cellmicrocosmos.org] Dear Colleagues, -- Please forward this to anyone who might be interested -- -- Apologies for cross-posting -- With this email, we would like to remind you of the approaching deadline for submissions to the 5th-anniversary issue of the Molecular Graphics and Visual Analytics of Molecular Data Workshop (MolVA). All accepted papers will be presented at MolVA 2023 Workshop which will be co-located with EuroVis 2023 in Leipzig, Germany. Therefore, at least one of the authors of an accepted paper will have to register and attend the workshop. Note that this call is for conference-only submissions where we invite both full papers as well as short papers (2-4 pages for short and up to 8 pages for full papers, both with an additional page reserved for references). All papers will undergo a single-stage, double-blind peer review process. The accepted papers will be then published in the EG digital library. For more information please see our webpage: http://tinyurl.com/molva Important Dates - Submission Due: February 28, 2023 - First Decision: March 21, 2023 - Revised Papers Due:  April 11, 2023 - Final Decision: April 12, 2023 - Publication / Workshop Date: June 12, 2023 As always, the suggested topics for papers include, but are not limited to: - Molecular Graphics & Rendering - Web-based Molecular Graphics & Visualization - Immersive Analytics approaches using, e.g., VR/AR technologies - Visual Analysis of Molecular Data (e.g., molecular structures, biological networks and pathways, or omics data) - Visualization of Dynamic Molecular Data & Large Molecular Systems - Machine-learning approaches for analysis of molecular data - Tools papers describing new molecular visualization tools or novel features in existing tools Best regards, Jan Byška, Michael Krone, Bjorn Sommer MolVA General Chairs