IEEE VIS 2015 http://ieeevis.org/ 25 - 30 October, 2015 Chicago, Illinois, USA Follow us on Twitter: https://twitter.com/ieeevis (spread the news) Facebook: https://www.facebook.com/ieeevis (please ‘like’ us) LinkedIn: https://www.linkedin.com/groups/IEEE-VIS-4469236?home=&gid=4469236&trk=anet_... *** What you will find in this email: 1. Call for papers 2. Co-located symposia and workshops 3. Tutorials 4. Panels (!!! NEW !!!) 5. VAST and SciVis contest 6. Doctoral Colloquium 7. Art Program (!!! NEW !!!) 8. Location 9. Chairs Please note that some deadlines are much earlier than previous years. *** CALL FOR PAPERS & PARTICIPATION IEEE VIS 2015 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 related to all areas of visualization including information visualization, scientific visualization, and visual analytics in three tracks. This year, the scientific visualization conference (SciVis), as well as The Visualization Analytics Science & Technology COnference will include both TVCG track and conference-only track. For more information, visit 26th IEEE Scientific Visualization Conference (SciVis) CFP: http://ieeevis.org/year/2015/info/call-participation/scivis-papers 21st IEEE Information Visualization Conference (InfoVis) CFP: http://ieeevis.org/year/2015/info/call-participation/infovis-papers 10th IEEE Visual Analytics Science & Technology Conference (VAST) CFP: http://ieeevis.org/year/2015/info/call-participation/vast-papers Paper abstracts submission (mandatory): March 21, 2015 Paper submission: March 31, 2015 Contact: papers@ieeevis.org <infovis_papers@ieeevis.org> CO-LOCATED SYMPOSIA AND WORKSHOPS - The 6th IEEE Sympoisum on Large-scale Data Analysis and Visualization (LDAV): http://ldav.org - Data Science Symposium: TBD - Visualization for Cyber Security Workshop (VizSec): http://www.vizsec.org/ - VAST Challenge Workshop: http://www.vacommunity.org <http://www.vacommunity.org/tiki-index.php> (Contact: vast-challenge@ieeevis.org) WORKSHOPS We solicit workshops related to all areas of visualization including information visualization, scientific visualization, and visual analytics. The workshops venue at IEEE VIS 2015 provides an informal setting for participants to discuss advanced technical topics in visualization, involve experts in the field, disseminate work in progress, and promote new ideas. Workshops should emphasize emerging ideas, concepts, or technologies that are currently too nascent or too interdisciplinary for a full symposium, or bring together experts on a subject to create a report, white-paper, or proposal requiring interactive work sessions that is of potential interest to a substantial segment of the visualization community. A distinction that separates workshops from tutorials is that the information flow for a workshop should not be directed solely from the presenters to the audience. Rather, workshops should engage the participation of all attendees. Workshops at IEEE VIS are open to all registered attendees and 'invitation only' workshops will not be approved. Submission deadline: April 30, 2015 Contact: workshops@ieeevis.org Workshop: VAST CHALLENGE The VAST Challenge provides realistic problems and datasets to showcase the effectiveness of tools and methods in the domain of visual analytics. The contest collects several entries of varying complexity, aimed at allowing students, researchers, practitioners, and industry to benchmark their tools in a replicated way. Submission deadline: TBD Contact: vast-challenge@ieeevis.org TUTORIALS Tutorials are intended to cover a wide selection of topics related to IEEE VIS 2015 and provide background on new tools and application domains necessary for research in data and information visualization and visual analytics. Tutorial attendees come from diverse backgrounds, including volume visualization and rendering, information visualization, geographic visualization, visual analytics, high performance computing, and scientific application communities. We are soliciting half-day tutorial proposals in the areas of visualization systems, mathematical foundations, methods, and application areas. We welcome course proposals that introduce emerging technologies to the visualization community, as well as proposals on more traditional visualization topics. Topics can include--but are not limited to--any of those listed in the calls for papers for VAST, InfoVis, and SciVis. Tutorials with an application focus are also encouraged. For more information, visit http://ieeevis.org/year/2015/info/call-participation/tutorials. Submission deadline: April 30, 2015 (Please note the new date) Contact: tutorials@ieeevis.org PANELS Panels address important and/or controversial applications and issues in scientific and information visualization and visual analytics today. In particular, we invite topics in connection with interesting application fields. Panels bringing together potential users of visualization technology (e.g. practitioners and industry professionals) and leading researchers, or panels consisting of experts in fields that might teach us important concepts (e.g. perceptual psychology, visual design, color theory, user-interface design) are welcome. For more information, please visit http://ieeevis.org/year/2015/info/call-participation/panels. Submission deadline: June 15, 2015 Contact: panels@ieeevis.org. SCIVIS CONTEST The 2015 IEEE Scientific Visualization Contest will be an official part of IEEE VIS 2015. Each year, the contest presents researchers from the visualization community an opportunity to transfer the latest developments in visualizing a challenging application scenario. For more information, visit http://darksky.slac.stanford.edu/scivis2015/. Submission deadline: TBD Contact: scivis_contest@ieeevis.org DOCTORAL COLLOQUIUM The doctoral colloquium (DC) is a single-day invitation-only event taking place the day before IEEE VIS where Ph.D. students in any visualization field---preferably those at the proposal defense stage or equivalent---present their proposed dissertation work and receive feedback from leading senior visualization researchers. We invite contributions from the scientific visualization, information visualization, and visual analytics student communities. For more information, visit http://ieeevis.org/year/2015/info/call-participation/doctoral-colloquium. Submission deadline: May 10, 2015 Contact: doctoral_coll@ieeevis.org ART PROGRAM The theme for VISAP’15 is data Improvisations. Artists and visualization researchers share common goals: to make things visible which are normally difficult to see; and to enable reasoning about information that we might otherwise remain ignorant of. For more information, visit http://ieeevis.org/year/2015/info/call-participation/arts-program. Submission deadline: June 15, 2015 Contact: art@ieeevis.org VIS 2015 LOCATION The conference venue, the Palmer House Hilton, is a historic hotel located in the heart of downtown Chicago, the third largest city in the United States and home to world-class architecture, museums, parks, and restaurants. VIS 2015 GENERAL CHAIRS Michael E. Papka, Argonne National Laboratory and Northern Illinois University Maxine Brown, University of Illinois at Chicago VIS 2015 PROGRAM CHAIRS Gautam Chaudhary, Alcon LenSx Inc. Terry Yoo, National Institutes of Health Contact: program@ieeevis.org VIS 2015 PAPER CHAIRS Bongshin Lee, Microsoft Research (InfoVis) Kwan-Liu Ma, University of California, Davis (InfoVis) Melanie Tory, University of Victoria (InfoVis) James Ahrens, Los Alamos National Laboratory (SciVis) Huamin Qu, Hong Kong University of Science and Technology (SciVis) Jos Roerdink, University of Groningen (SciVis) Gennady Adrienko, Fraunhofer IAIS and City University London (VAST) Min Chen, Oxford University (VAST) Best regards, - Jian ------------------------------------------------------------- Jian Chen, PhD, Assistant Prof. CSEE, University of Maryland Baltimore County http://www.csee.umbc.edu/~jichen