The 2016 Workshop on Visualization in Practice is a new opportunity for visualization practitioners and researchers to share experiences, insights, and ideas in applying the latest visualization and visual analytics research to real world problems.
Workshop (Monday, October 24, 2016)
The workshop is primarily targeted towards practitioners and institutions who mainly use existing visualization tools to address their real world application needs. Examples of the type of audience member who would find this workshop useful include: web and data visualization developers, UX designers, media/journalists, research scientists from other domains, NGOs and corporations using visualization for consumer communication or enterprise environments.
The focus of the 2016 version of this workshop will be on the design, development, distribution, and application of open source visualization and visual analytics software. The workshop will include an invited keynote, a number of talks on reviewed papers, and a poster session in which live demonstrations of open source tools will be given.
VIP Panel (Tuesday, October 25, 2016)
In addition, the workshop will also be complemented by a panel on the topic "Transitioning Research into Re-useable Open Source or Commercial Software" that is part of the main IEEE VIS Conference program. This panel will feature distinguished participants from Kitware, IBM, Georgia Tech and Tableau who will share their valuable experiences in making research visualization tools available for real world applications.
Join us at IEEE VIS
IEEE VIS is the premier visualization event in the world, and annually gathers over a thousand researchers, practitioners, and students in the visualization sciences for a 6-day long event that encompasses all of its disciplines, including visual analytics (IEEE VAST), information visualization (IEEE InfoVis), and scientific visualization (IEEE SciVis). This year’s IEEE VIS will be held in Baltimore, Maryland, USA on October 23-28, 2016.
Registration for IEEE VIS provides not only access to the two above mentioned events but also to a myriad of other workshops, tutorials, panels and talks organized by or held in conjunction to the conference.
Please join us in Baltimore this year for front line access to the latest developments in the visualization and visual analytics fields!
2015 IEEE VIS VIP Workshop Program
Session 1: 2:00pm-3:40pm
2:00-2:10 Welcome (Justin Talbot, VIP Committee)
2:10-2:55 Keynote: The Vega Ecosystem (Arvind Satyanarayan, Stanford)
Abstract: The Vega stack of tools, primarily developed at the University of Washington Interactive Data Lab, features declarative languages and graphical systems for interactive data visualization. In this talk, I will describe how community members have integrated Vega and Vega-Lite into Wikipedia and the Jupyter Notebook, and how such deployments have influenced the design of the Vega stack. I will also detail our outreach efforts, and discuss the ongoing challenges we face in turning research artifacts into production-ready systems.
2:55-3:40 Presentations, 15 min each (Daniela Oelke, chair)
MegaMol---for Fun and Profit - Grottel, Sebastian
Keshif: Out-of-the-Box Visual and Interactive Data Exploration Environment - Yalcin, Mehmet Adil
On Expressiveness and Conciseness of Data Graphics Templates - Vuillemot, Romain
Session 2: 4:15pm-5:55pm
4:15-5:15 Presentations, 15 min each (Bernd Hentschel, chair)
Resonant Laboratory and Candela: Spreading Your Visualization Ideas to the Masses - Bigelow, Alex
Application of Visual Analytics to Maritime Domain Analysis - Varga, Margaret
STRAD Wheel: Web-based Library for the Visualization of Temporal Data - Naranjo-Valero, Carol
Uncertainty-Awareness of Open Source Visualization Solutions - Gillmann, Christina
5:15-5:45 Poster Fast Forward, 3 min each (Bernd Hentschel, chair)
New\s\leak -- A Tool for Visual Exploration of Large Text Document Collections in the Journalistic Domain - von Landesberger, Tatiana
OpenThinning: Fast 3D Thinning based on Local Neighborhood Lookups - Gillmann, Christina
A Java alternative to open source visualization - VisNow - Borucki, Bartosz
Java Scientific Containers - an open source generic large data library for visualization applications - Borucki, Bartosz
Lessons learned from designing and implementing Network Explorer, a real world network visual analytics tool using open source software - Guerra Gómez, John Alexis
TrajAnalytics: A Web-Based Visual Analytics Software of Urban Trajectory Data - Zhao, Ye
Beyond the Prototype: Transitioning Research into Re-useable Open Source or Commercial Software
2016 IEEE VIS Vis In Practice (VIP) Panel
Alan Keahey (Moderator), Jeff Baumes, Hank Childs, Jock Mackinlay, Dan Rope, John Stasko
What are the key factors that determine whether individual results generated by the visualization research community will attain significance outside of that community? Historically, there has been something of a disconnect between the visualization academic researcher and the visualization practitioner and commercial communities. This panel will be comprised of a distinguished group of visualization experts with great success stories in transitioning visualization research into widely used (and reused) visualization systems in the broader sphere of interest. The panelists represent a cross section of visualization specializations (information visualization, scientific visualization, visual analytics and media) who have transitioned research using both commercial and open source vehicles.
Some of the key barriers to migration from research prototype to widely used systems include:
Narrow Market Opportunities: As the visualization field matures, most of the low hanging fruit has already been plucked and popularized with systems such as D3.js, Excel, and Tableau. Much of the innovation in the vis research community is centered around fairly specialized applications that have narrow markets of interest. The value in such systems is in the tight integration with the application. There is a tension between making tools that are general enough to be of interest to a wider audience, and specialized enough to provide significant value.
Technology Hardening: Research prototypes are often fragile and built to a single purpose by students who move on after graduation. The primary incentives for most academics (grants and papers) are not tightly aligned with the needs of the broader community for robust, well-tested and supported software. This disconnect could potentially be addressed through technology transition requirements for research proposals, and we expect the panel to discuss potential best practices for making those transitions successful.
Intellectual Property: What institutional frameworks can be provided to help the academic researcher protect their intellectual property when publishing and/or transitioning their system to a broader audience? There are sometimes conflicting needs between getting papers published quickly and getting patents filed. Even if the institution agrees to file patents on the innovation, to what extent are they willing or able to defend the patents on a legal basis when legal fees for such a case starting at ¼ million dollars?
Funding and Resources: Typical sources for funding for commercial products would include university level commercialization programs and venture capital. However for open source communities the “capital investment” comes in the form of the user community involvement. Each of these avenues introduces particular challenges for getting the research prototype “over the chasm” and into sustained viability.
Our panelists will provide perspectives on how they successfully overcame hurdles in these and other areas to create widely used visualization capabilities that have endured over time.