IEEE VIS 2016 http://ieeevis.org/ 23 - 28 October, 2016 Baltimore, Maryland, USA Follow us on Twitter: https://twitter.com/ieeevis Facebook: https://www.facebook.com/ieeevis LinkedIn: https://goo.gl/5qABWF CALL FOR PAPERS & PARTICIPATION IEEE VIS 2016 is the premier forum for advances in visualization. The event-packed week brings together researchers and practitioners from academia, government, and industry to explore their shared interests in tools, techniques, and technology. We invite you to participate in IEEE Visual Analytics Science and Technology (VAST), IEEE Information Visualization (InfoVis), and IEEE Scientific Visualization (SciVis) by sharing your research, insights, experience, and enthusiasm. FULL PAPERS We solicit high quality papers in all areas of visualization including information visualization, scientific visualization, and visual analytics in three tracks. For more information, visit 27th IEEE Scientific Visualization Conference (SciVis) CFP: http://ieeevis.org/year/2016/info/call-participation/scivis-papers <http://ieeevis.org/year/2016/info/call-participation/scivis-papers> 22nd IEEE Information Visualization Conference (InfoVis) CFP: http://ieeevis.org/year/2016/info/call-participation/infovis-papers 11th IEEE Visual Analytics Science & Technology Conference (VAST) CFP: http://ieeevis.org/year/2016/info/call-participation/vast-papers IMPORTANT DATES Paper abstracts submission (mandatory): March 21, 2016 Paper submission: March 31, 2016 LOCATION The conference will be returning to Baltimore, Maryland. Located on the mid-Atlantic coast, the city is easy to reach and has wonderful attractions as part of the Inner Harbor district near the conference hotel. VIS 2016 GENERAL CHAIR Terry Yoo, National Institutes of Health VIS 2016 VICE CHAIR Jesus J Caban, Walter Reed National Military Medical Center VIS 2016 PROGRAM CHAIRS Gautam Chaudhary, Alcon LenSx Inc. James Ahrens, Los Alamos National Laboratory VIS 2016 PAPER CHAIRS Gennady Andrienko, Fraunhofer IAIS and City University London (VAST) Shixia Liu, Tsinghua University (VAST) John Stasko, Georgia Institute of Technology (VAST) Bongshin Lee, Microsoft Research (InfoVis) Kwan-Liu Ma, University of California, Davis (InfoVis) Niklas Elmqvist, University of Maryland, College Park (InfoVis) James Ahrens, Los Alamos National Laboratory (SciVis) Mike Kirby, University of Utah (SciVis) Jos Roerdink, University of Groningen (SciVis) Please kindly note that the abstract submission is mandatory. Best regards, - Jian, Wenwen, and Alex (VIS publicity chairs) ------------------------------------------------------------- Jian Chen, PhD, Assistant Professor UMBC Innovation Fellow Computer Science and Electrical Engineering University of Maryland, Baltimore County http://www.csee.umbc.edu/~jichen