CHI-ANNOUNCEMENTS Archives

ACM SIGCHI General Interest Announcements (Mailing List)

CHI-ANNOUNCEMENTS@LISTSERV.ACM.ORG

Options: Use Forum View

Use Monospaced Font
Show Text Part by Default
Condense Mail Headers

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

Print Reply
Sender:
"ACM SIGCHI General Interest Announcements (Mailing List)" <[log in to unmask]>
X-To:
Date:
Mon, 10 Jun 2019 09:15:50 -0400
Reply-To:
Chaoli Wang <[log in to unmask]>
Subject:
MIME-Version:
1.0
Message-ID:
Content-Type:
text/plain; charset="UTF-8"
From:
Chaoli Wang <[log in to unmask]>
Parts/Attachments:
text/plain (139 lines)
-----------------------------------------------------------------------

                          Call for Papers

            LDAV 2019 - Large Data Analysis and Visualization

    The 9th IEEE Symposium on Large Data Analysis and Visualization
              Held in conjunction with IEEE VIS 2019

                 October 21, 2019, Vancouver, Canada

                        http://www.ldav.org/

                    *** Abstracts due June 17 ***
                   *** Full Papers due June 24 ***

                      Contact: [log in to unmask]

-----------------------------------------------------------------------

Data scales are increasing throughout scientific, business, and research
contexts. Large-scale scientific simulations, observation technologies,
sensor networks, and experiments are generating enormous datasets, with
some projects approaching the multiple exabyte range in the near term.

Gaining insight from massive data is critical for disciplines such as
climate science, nuclear physics, security, materials design,
transportation, urban planning, and so on. Business-critical decisions
are made based on massive data in domains like social media, machine
learning, software telemetry, and business intelligence. The tools and
approaches needed to search, analyze, and visualize data at extreme
scales can be fully realized only from end-to-end solutions, and with
collective, interdisciplinary efforts.

The 9th IEEE Large Scale Data Analysis and Visualization (LDAV)
symposium, to be held in conjunction with IEEE VIS 2019, is specifically
targeting methodological innovation, algorithmic foundations, and
possible end-to-end solutions. The LDAV symposium will bring together
domain experts, data analysts, visualization researchers, and users to
foster common ground for solving both near- and long-term problems.

SCOPE:

We are looking for both original research contributions and position
papers on a broad-range of topics related to collection, analysis,
manipulation, and visualization of large-scale data. We are particularly
interested in innovative approaches that combine information
visualization, visual analytics, and scientific visualization.

We are interested in methods for data at scale, including:
* Distributed, parallel, and multi-threaded computation
* Streaming methods
* Innovative software solutions
* Advanced hardware and GPU-based approaches
* Hierarchical data storage, retrieval, processing, and rendering
* Sampling, approximate query processing, and progressive computation
* Collection, management, and curation of massive datasets
* Scalable visualization and exploration methods
* Ensemble data visualization and analysis
* In-situ data analysis

We are also interested in understanding state of the art techniques,
including:
* Best practices for large data visualization
* End-to-end system solutions in a large data context
* Industry solutions for big data analysis and visualization

We are interested in research on the context of visualization,
including:
* Collaboration or/and co-design of large data analysis with domain
  experts
* Topics in cognitive issues specific to manipulating and understanding
  large data
* Application case studies
* New challenges in visualizing experimental, observational, or
  simulation data

Full Papers
Full papers should have a maximum length of 9 pages with up to two (2)
additional pages allowed for only references (maximum total of 11
pages). Full papers may make contributions in techniques, systems,
applications, evaluations, or theory. The contributions of full papers
are reviewed based on their novelty, contribution, replicability, and
evaluation.

Short Papers
Short papers should have a length of 4-5 pages in total. Short papers
are a venue to report smaller contributions than full papers. Position
papers and showcases of interesting application of visualization are
good topics for short papers. Technique, system, application,
evaluation, or theory papers that have a smaller contribution than a
full paper can also be submitted as a short paper.

SUBMISSION INSTRUCTIONS:

LDAV is accepting both full papers and short papers. The manuscripts
should be formatted according to guidelines from IEEE VGTC
(http://www.cs.sfu.ca/~vis/Tasks/camera.html). Submission of an abstract
is required prior to submission of a paper or short paper.

Submission site note: Go to the submission site
(https://new.precisionconference.com/vgtc), log in, go to 'Submissions',
and select Society 'VGTC', Conference 'LDAV 2019', and Track 'LDAV 2019
Papers'.

PROCEEDINGS:

The proceedings of the symposium will be published together with the VIS
proceedings and via the IEEE Xplore Digital Library.

BEST PAPER:

The LDAV Program Committee will present a Best Paper award to the
authors whose submission is deemed the strongest according to the
reviewing criteria. This award will be announced in conjunction with VIS
2019.

IMPORTANT DATES:

Please note: all deadlines are firm and no extensions will be granted.

Abstract Deadline (firm):     June 17, 2019
Paper Submission (firm):      June 24, 2019, 11:59 PM (AOE)
Author Notification:          August 12, 2019
Camera-Ready Deadline (firm): August 17, 2019

Kristi Potter, Julien Tierny, and Chaoli Wang
LDAV 2019 Papers Chairs

    ---------------------------------------------------------------
    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 http://listserv.acm.org
    ---------------------------------------------------------------

ATOM RSS1 RSS2