<div dir="ltr"><span id="gmail-docs-internal-guid-baa3a49f-7fff-31ee-87cb-410d218dbc85"><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Dear colleagues,</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">(Sorry for cross-posting) Please find below the CFP of a workshop on “Visualization Meets AI”, co-located with IEEE PacificVis 2021.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal" id="gmail-docs-internal-guid-4b7264fd-7fff-0a5d-2615-a5ff1adb4635"><br><br></b></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">===WORKSHOP===</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Visualization Meets AI Workshop, co-located with IEEE PacificVis 2021</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="text-decoration:underline;font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;vertical-align:baseline;white-space:pre-wrap"><a href="https://vis-meets-ai.bitbucket.io/" style="text-decoration:none">https://vis-meets-ai.bitbucket.io/</a></span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The task of data visualization generally involves a design step, which requires the knowledge of the data domain and visualization methods to do well. Because of the immense design space for optimization, it can take both novices and experts substantial effort to derive desired visualization results from data for exploration or communication. Following the resurgence of artificial intelligence technology in recent years, in the field of visualization, there is a growing interest and opportunity in applying AI to perform data transformation and to assist the generation of visualization, aiming to strike a balance between cost and quality. The use of visualization to enhance AI is the other active line of research. This workshop, held in conjunction with IEEE PacificVis 2021, aims at exploring this emerging area of research and practice by fostering communication between visualization researchers and practitioners. Attendees will be introduced to the latest and greatest research innovations in AI-enhanced visualization (AI4VIS) as well as visualization-enhanced AI (VIS4AI), and also learn about further research opportunities. The workshop will be composed of full papers, short papers, and invited talks.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br><br></b></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">===CALL FOR PAPERS===</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Full Papers: Accepted full papers will appear in a special issue of the Journal of Visual Informatics with open access. There is no page limit, but authors are encouraged to submit a paper whose length matches its contribution, and the manuscript should be prepared according to the guide for authors given at Elsevier.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Short Papers: Accepted short papers will appear in the IEEE Digital Library. We recommend the authors to follow the VGTC formatting guidelines. There is no strict page limit, but short papers are usually less than five (5) pages.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Check out</span><a href="https://vis-meets-ai.bitbucket.io/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> </span><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">https://vis-meets-ai.bitbucket.io/</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> for submission details.</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br><br></b></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">===IMPORTANT DATES===</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Full/Short paper due : February 1, 2021 (11:59pm PST)</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Notification: March 8, 2021</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Camera ready paper due: March 22, 2021 (11:59pm PST)</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Workshop: April 19, 2021</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><b style="font-weight:normal"><br></b></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Thanks,</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Takanori Fujiwara and Junpeng Wang</span></p><p dir="ltr" style="line-height:1.656;margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(0,0,0);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Visualization Meets AI Workshop Co-Chairs</span></p><p dir="ltr" style="line-height:1.38;margin-top:0pt;margin-bottom:0pt"><br></p></span></div>