IEEE VIS 2017 is the premier forum for advances in visualization. The
event-packed week, October 1-6, 2017 in Phoenix, Arizona, brings together
researchers and practitioners from academia, government, and industry to
explore their shared interests in tools, techniques, and technology.

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Conference Registration and Hotel Rooms

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Conference registration remains open for VIS 2017.

For details, visit
http://ieeevis.org/year/2017/info/registration/conference-registration

Our hotel block is an important part of the contracts we negotiated with
the convention center in order to get the space that we need to host the
conference and to keep our overall prices low to attendees.

To make a reservation, visit
https://aws.passkey.com/event/15934070/owner/2336/home

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Videos

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Videos for accepted papers are available through the paper program:
http://ieeevis.org/year/2017/info/overview-amp-topics/papers-sessions

Videos previews for other program items are available here:
https://vimeo.com/groups/480818

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Keynotes at VIS and Associated Events

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VIS Keynote

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Jacqueline H. Chen, Distinguished Member of Technical Staff at the
Combustion Research Facility at Sandia National Laboratories.

Analytics Inspired Visualization: a Holistic In-situ Scientific Workflow at
Extreme Scale

Combustion and turbulence simulations involve highly intermittent localized
phenomena that generate high volumes of spatially and temporally varying
field and particle data. The current paradigm of posthoc analysis and
visualization will become increasingly infeasible as data volumes continue
to increase. In the exascale era this problem will be further exacerbated
by the difficulty of moving large volumes of data through deep complex
memory hierarchies and across the machine network to hard disks on a
heterogeneous supercomputer. I will discuss recent advances in in situ
massively parallel volume and particle visualization algorithms coupled
with analytics – e.g. topological feature segmentation/tracking, distance
field construction, multi-variate statistics and eigensolutions of the
reaction rate Jacobian - as an integral part of a scientific discovery from
high-fidelity combustion simulations. The role of asynchronous task based
programming models and runtimes to facilitate an extensible, performance
portable computational science workflow at extreme scale will also be
discussed in the context of recent turbulent ignition simulations.

For details, visit http://ieeevis.org/year/2017/keynote

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VIS Capstone

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Giorgia Lupi, Co-founder of Accurat, a data-driven design firm and an award
winning information designer.

Data Humanism - The Revolution will be Visualized

It’s time to change our minds about data. Data is often perceived as
inevitably cold, but instead it can be more than numbers, it can represent
real life and it can be a snapshot of the world in the same way that a
picture catches small moments in time. The more ubiquitous data becomes,
the more we need to experiment with how to make it unique, contextual,
intimate; and the way we visualize it is crucial as it is the key to
translating numbers into concepts we can relate to. In an aspirational
talk, Giorgia will discuss how to see this moment as an opportunity to
jumpstart a new renaissance, where we can question the impersonality of a
merely technical approach to data, where we are ready to reconnect numbers
to what they really stand for: which are more and more our lives.

For details, visit http://ieeevis.org/year/2017/capstone

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Keynote: Large Scale Data Analysis and Visualization (LDAV)

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Ulrich Rüde, FAU Erlangen-Nürnberg

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Keynotes: Visualization in Data Science (VDS)

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Fernanda Viegas, Martin Wattenberg, Google

Visualization: The secret weapon for machine learning.

Vasant Dhar, New York University

When Should We Trust Autonomous Learning Systems with Decision Making?

Hadley Wickham, RStudio

Challenges in Data Science

For details, visit http://www.visualdatascience.org/2017/program/

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Keynote: Visualization for Cyber Security (VizSec)

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Alexander Anthony Gates, Director, Cyber Directorate, Office

of Intelligence and Counterintelligence, U.S. Department of Energy

Maintaining Context

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Keynote: Visual Analytics in Healthcare (VAHC)

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Hadi Kharrazi, Johns Hopkins Bloomberg School of Public Health

For details, visit http://www.visualanalyticshealthcare.org/speakers.html

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Community Events

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This year we have a few new community-building activities that we'd like to
invite you to participate in:

* Flyer posting for positions: if you have positions available, and cannot
attend VIS, send your flyers to [log in to unmask] as a PDF (at least a
week prior to VIS).

* Asynchronous Job Fair (AJF): a way to help connect job seekers and
employers over the course of VIS. If you are job hunting upload your CV in
the registration form at least a week prior to VIS and grab an “I’m job
hunting!” ribbon at the conference registration. If you are hiring grab an
“I’m hiring!" ribbon at the conference and add your fliers on the corkboard.

* VisBuddies: an initiative to bring together new and returning VIS
attendees with similar interests. Register using the registration form (at
least a week prior to VIS).

Don't forget to grab a "years in attendance" sticker and badge bling at
registration!

Thank you for helping us build the VIS community!

For details, visit
http://ieeevis.org/year/2017/info/call-participation/community

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Meetups

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VIS Newcomers (Sunday, 12:20-12:45 PM)

Career Plans for Women (Sunday, 2:00-4:00 PM)

VISKids Hello (Monday, 12:15-12:45 PM)

DECISIVe Workshop contd. (Monday, 2:00-5:30 PM)

VISParents (Tuesday, 12:15-2:00 PM)

Junior Faculty, Researchers, and Practitioners Happy Hour (Tuesday,
6:00-8:00 PM)

Sonification: Augmenting Visualization (Tuesday, 6:00-8:00 PM)

VisLies: New and Improved! (Tuesday, 7:00-8:00 PM)

Vision Science at InfoVis (Wednesday, 3:45-5:00 PM)

Velo Club de Vis (Thursday, 6:00-7:00 PM)

Open Inventor Academic Program (Thursday, 6:00-7:00 PM)

Blogging: How to Start and Keep Telling the World About your Work
(Thursday, 6:00-7:00 PM)

For details, visit http://ieeevis.org/year/2017/info/meetups

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BioVis Challenges Workshop

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The rapidly expanding field of biology creates enormous challenges for data
visualization techniques that enable researchers to gain insight from their
large and highly complex data sets. BioVis Challenges Workshop is a
half-day event organised in conjunction with IEEE VIS 2017 and focuses on a
state-of-the-art biological challenge that requires a concerted effort from
researchers in visualisation and biology to be addressed effectively. The
event will be kicked-off with a keynote from a biology expert where
challenges in a particular domain are presented followed by hands-on
activity on these challenges by groups of visualisation researchers and
domain scientists. The output of the workshop will be a list of
well-characterized visualization challenges within the problem domain, and
the organizers, together with the participants, will externalize these
challenges in the form of a report or publication following the event.

For details, visit http://biovis.net/2017/ieeevis/

Contact: [log in to unmask]

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