PacificVAST 2019

PacificVAST 2019 is an international workshop co-located with IEEE PacificVis 2019. The workshop is held on April 23rd 2019, 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 differ from other 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.

For fostering a stronger visual analytics community in the Asia-Pacific region, all accepted papers will be published in a special issue of the Elsevier Journal of Visual Informatics on the day of the workshop.（PacificVAST 2019录取的文章将会收录在我刊2019年第一期上）

Website of Pacific VAST 2019:

http://research.cbs.chula.ac.th/pvis2019/PacificVAST.aspx

Important Dates

Deadline for submission : December 10th (Mon), 2018

First round notification: January 18th (Fri), 2019

Deadline for Revision: February 8th (Fri), 2019

Second round notification: February 25th (Mon), 2019

Deadline for camera ready draft: March 11th (Mon), 2019

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

Topics

All aspects of visual analytics are covered in PacificVAST including, but not limited to

1、The science of analytical reasoning

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

 2、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; 

3、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 multivariate information 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; 

4、Techniques, case studies, 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, case studies, 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;

 5、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 Submission;

Papers are to be submitted using the new Precision Conference system:https://new.precisionconference.com/vgtc(投稿网址)

There is no page limit, but authors are encouraged to submit papers whose length matches their contribution, and the manuscript should be carefully prepared according to the guide for authors available at https://www.elsevier.com/journals/visual-informatics/2468-502x/guide-for-authors.

Workshop Chairs

Wei Chen

Zhejiang University, China

Steffen Koch

University of Stuttgart, Germany

Email: pacific_vast@pvis.org