Friday, OCTOBER 6 8:30AM-10:10AM Location: 101-ABC
Arthur Olson (Organizer), The Scripps Research Institute Eduard Groeller (Organizer), TU Vienna Alan M. MacEachren, Pennsylvania State University Todd Richmond, USC Institute for Creative Technologies Claudio Silva, New York University
Contact: groeller@cg.tuwien.ac.at
Scale and scalability have been recurring topics in our field. Recent developments like smart data, machine learning, and advances in domains like biology, cartography, smart communities, and communication pose novel challenges to scalability and use of scale. Examples include support for scale-transparent visual computing, cross-scale visualization and interaction, massive multi-scale techniques, scale integration, cross-scale labeling and annotation, cross scales on structure and dynamics, and continuous scales.
Thursday, OCTOBER 5 2:00PM-3:40PM Location: TBD
Robert S. Laramee (Organizer), Swansea University Rita Borgo, Kings College Vetria Byrd, Purdue Polytechnic Institute Aviva Frank, State University of New York, Purchase Kelly Gaither, University of Texas, Austin Ronald Metoyer, University of Notre Dame Erica Yang, Science and Technology Facilities Council (STFC)
Contact: r.s.laramee@swansea.ac.uk
This panel will address the lively topic of diversity in the fields of data visualization and visual analytics from gender, cultural, and technological points of view.
Thursday, OCTOBER 5 10:30AM-12:10PM Location: 207 Lecture Hall
Timo Ropinski (Organizer), Ulm University Daniel Archambault, Swansea University Min Chen, Oxford University Ross Maciejewski, Arizona State University Klaus Mueller, Stony Brook University Alexandru Telea, University of Groningen Martin Wattenberg, Google
Contact: timo.ropinski@uni-ulm.de
Nowadays, machine learning approaches have revolutionized many domains. As this pushes the human out of the loop, the human-in-the-loop paradigm might be endangered. Thus, we would like to investigate, which old visualization challenges are rendered obsolete, and which new visualization challenges arise from the recent advances in machine learning.
Tuesday, OCTOBER 3 2:00PM-3:40PM Location: 101-ABC
Steven M. Drucker, Microsoft Research Adam Perer, IBM Research Daniela Oelke, Siemens Melanie Tory, Tableau Research Krist Wongsuphasawat, Twitter Justing Talbot, Tableau Research
Contact: vip@ieeevis.org
The Vis in Practice panel is part of the IEEE VIS 2017 main program and provides visualization researchers and practictioners with the chance to hear from leaders in the field. This year our panelists will discuss how visualization research impacts industry. The panelists have deep and diverse experience applying ideas from the research domain to visualization problems and products within industry. The panelists will provide their perspectives on questions such as: What visualization papers or threads of research have had particular impact on your industry? When developing new features or systems, to what extent do you turn to existing research to inform your decisions? What types of papers are most relevant to your work? What makes a paper more or less applicable? Are there general visualization questions that are of critical interest to your company that are not currently being addressed by the research community?
Thursday, OCTOBER 5 4:15PM-5:55PM Location: 101-ABC
Jason Dykes (Organizer), City University of London Miriah Meyer (Organizer), University of Utah Uta Hinrichs, St. Andrews University Nathalie Henry Riche, Microsoft Research Remco Chang, Tufts University Petra Isenberg, Inria Heidi Lam, Tableau Research Tamara Munzner, University of British Columbia
Contact: J.Dykes@city.ac.uk
Design study research methodologies emphasize the need for reflection to generate knowledge. We ask six researchers to reflect upon the role of reflection in design studies, as we try to share and develop good practice. Come along to participate in an interactive conversation around reflection, that underpins applied visualization research.
Wednesday, OCTOBER 4 2:00PM-3:40PM Location: 101-ABC
Christine Nothelfer (Organizer), Northwestern University Zoya Bylinskii (Organizer), Massachusetts Institute of Technology Madison Elliott (Organizer), University of British Columbia Cindy Xiong (Organizer), Northwestern University Danielle Albers Szafir (Organizer), University of Colorado Boulder Ronald Rensink, University of British Columbia Steven Franconeri, Northwestern University Karen Schloss, University of Wisconsin-Madison Ruth Rosenholtz, Masachusetts Institute of Technology
Contact: Danielle.Szafir@Colorado.EDU
Vision science can explain what people see when looking at visualizations–what data people attend to, what statistics they extract, and what they ultimately remember. This panel features talks from vision scientists who will survey the modern vision science landscape to foster new collaborative opportunities between visualization and vision science.
