[image 02768] Call for Papers PacificVAST 2018 (10th April, 2018 @ Kobe University)

[itot ＠ is.ocha.ac.jp]

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PacificVAST 2018 (10th April, 2018, Kobe University) CALL FOR PAPERS

http://itolab.is.ocha.ac.jp/pvis2018/#PacificVAST


PacificVAST 2018 is an international workshop collocated with PacificVis
2018.
The workshop is held on April 10th 2018, the first day of the symposium.

In PacificVAST, participants share their state-of-the-art research results
and
fresh perspectives on visual analytics. Visual analytics is a discipline
concerned with science and technology for analytical reasoning supported by
interactive visual interfaces. Most papers presented in PacificVAST are
distinguished from traditional visualization papers in that they
harmoniously
integrate interactive visual interfaces with analytical techniques from
statistics,
data mining, or machine learning fields to help analyze overwhelming
amounts of
disparate, conflicting, and dynamic information.

All aspects of visual analytics are covered in PacificVAST including,
but not limited to the following topics:

The science of analytical reasoning

  - Visually enabled tools to support (collaborative) analytic reasoning
    about complex and dynamic problems Scalable visual analytic techniques

Visual representations and interaction techniques

    - Theories and techniques of visual representations based on cognitive
      and perceptual principles that can be deployed through engineered,
      reusable components
    - Novel visual paradigms that support the (collaborative) analytical
      reasoning process
    - Theories and techniques of user interactions that support the
analytical
      reasoning process

Data representations, transformations, and integrations

    - Theory and practice for transforming data into new scalable
representations
      that faithfully represent the content of the underlying data
    - Methods to synthesize information of different types and from
different
      sources into a unified data representation
    - Methods and principles for representing data quality, reliability,
and
      certainty measures throughout the data transformation and analysis
process

Techniques and systems for production, presentation, and dissemination of
analysis results

    - Methodology and tools that enable the capture of the analytic
assessment,
      decision recommendations, and first responder actions into
information packages
    - Technologies and systems that enable analysts to communicate what
they know
      through the use of appropriate visual metaphor and accepted
principles of
      reasoning and graphic representation
    - Techniques and tools that enable effective use of limited,mobile
forms of
      technologies to support situation assessment by first responders

Methodologies and benchmarks for evaluating visual analytics techniques and
systems

    - Infrastructure to facilitate evaluation of new visual analytics
technologies
    - Ecologically valid evaluation methods for visual analytics tools


For fostering a stronger visual analytics community in the Asia-Pacific
region,
PacificVAST starts a new publishing model this year: ALL accepted papers
will be
published in a special issue of the Elsevier Journal of Visual Informatics
on the day of the workshop.

Important dates

  --------------------------------- ---------------------------
  Deadline for submission           December 11th (Mon), 2017
  First round notification          January 19th (Fri), 2018
  Deadline for Revision             February 9th (Fri), 2018
  Second round notification         February 25th (Mon), 2018
  Deadline for camera ready draft   March 12th (Mon), 2018
  --------------------------------- ---------------------------

Deadlines are due at 23:59 Pacific Time (PST).

Submission guidelines

For those who want to submit their paper: Send us at pacific_vast (at)
pvis.org,
a simple e-mail containing the title, the list of author(s), abstract, and
the name
and e-mail address of corresponding author. Upon receipt of your request,
we will
send back a link for the submission to the special issue. There is no page
limit,
but authors are encouraged to submit papers whose length is proportional to
their
contributions, and the manuscript should be carefully prepared according to
the gude for authors available at
https://www.elsevier.com/journals/visual-informatics/2468-502x/guide-for-authors


WORKSHOP CHAIRS
-   Issei FUJISHIRO (Keio University, Associate Editor for JVI)
-   Jinwook SEO (Seoul National University)

-- 
Issei FUJISHIRO, Dr. Sc.
Professor of Information and Computer Science,
Faculty of Science and Technology
Chief Professor of Center for Information and Computer Science,
Graduate School of Science and Technology
Keio University
3-14-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8522, Japan
Phone&FAX：+81-45-566-1752