ACM SIGCHI General Interest Announcements (Mailing List)


Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Organizers EuroVA <[log in to unmask]>
Reply To:
Organizers EuroVA <[log in to unmask]>
Tue, 5 Dec 2017 15:35:15 -0500
text/plain (153 lines)
EuroVA 2018 Workshop

EuroVA 2018 is the ninth international EuroVis Workshop on Visual Analytics.

It will take place on Monday, June 4, 2018 in Brno, Czech Republic.

Visual Analytics is a problem-solving and sense-making technology that
integrates analytical computations, visual representations, and
interaction. It includes the analysis of complex (massive, dynamic,
ambiguous, conflicting, …) data and information for gaining understanding,
building knowledge, and inferring insight. Visual Analytics aims at a
synergistic collaboration of humans and computers mediated through
interactive visual interfaces. As such, Visual Analytics is an
interdisciplinary field of research, including aspects of visualization,
human-computer interaction, statistics and mathematics, data management and
knowledge representation, data analysis and machine learning, cognitive and
perceptual sciences, and more.

EuroVA 2018 is the best place to present and discuss ideas of new methods
and theories, interesting applications, designs, and studies of the use of
Visual Analytics methods and systems. The workshop will accept a range of
paper types, including technique, system, application, evaluation and
theory papers in the area of Visual Analytics.
Call for Submissions

The workshop seeks to attract innovative, fresh and creative ideas with a
high potential of becoming significant contributions to the Visual
Analytics community. We welcome

research papers that introduce new Visual Analytics concepts, methods, or
application papers that describe success stories of Visual Analytics in
practice, and
position papers expressing novel and potentially controversial viewpoints
on Visual Analytics.

The workshop covers a broad range of topics in the area of Visual Analytics:


   Visual representations of complex data

   Interaction techniques for data analysis

   Computational methods to support analysis tasks

   Theoretical foundations of Visual Analytics

   Cognitive and perceptual aspects

   Infrastructures and architectures for Visual Analytics

   Data management, data provenance, and data uncertainty

   Evaluation of Visual Analytics

   Visual Analytics applications

Hot Topics

We especially encourage submissions reporting late-breaking results in the
upstream topics:


   Sports Visual Analytics

   Progressive Visual Analytics

   Immersive Visual Analytics

   Big Data Analytics

   Visual Analytics and deep learning

   Decision making and analytical workflows using Visual Analytics

   Visual Analytics of streaming data

Important Dates


   Submission: February 23, 2018

   Notification: March 23, 2018

   Camera-ready: April 20, 2018

   Workshop: June 4, 2018 (New this year: EuroVA will be only on Monday!)

Submission Guidelines

Papers, 4 pages in length + 1 extra page for references (maximum) must be
prepared using the EuroVA LaTeX template, which can be downloaded here:

Papers are to be submitted via the new PCS at: https://new.

At least one author of an accepted paper must register and participate in
the workshop to present the accepted work.

The EuroVA 2018 Workshop Proceedings will be published by the Eurographics
Association <>, and be stored on the Eurographics
Digital Library <>.
OrganizersProgram chairs

Christian Tominski, University of Rostock

Tatiana von Landesberger, Technische Universität Darmstadt

Publicity chair

Michael Behrisch, Harvard University



EuroVA 2018:

    For news of CHI books, courses & software, join CHI-RESOURCES
     mailto: [log in to unmask]

    To unsubscribe from CHI-ANNOUNCEMENTS send an email to
     mailto:[log in to unmask]

    For further details of CHI lists see