[hpc-announce] LDAV 2023: Large Data Analysis & Visualization (Deadline Extension)

[S Frey]

Abstract Deadline (extended): June 16th, 2023; Submission Deadline (extended): June 23rd, 2023

For more information see: https://ldav.org/

The 13th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium, to be held in conjunction with IEEE VIS 2023, is specifically targeting methodological innovation, algorithmic foundations, and possible end-to-end solutions. The LDAV symposium will bring together domain scientists, data analysts, visualization researchers, and users to foster common ground for solving both near- and long-term problems. Paper submissions are solicited for long and short paper tracks. Topic emphasis is on algorithms, languages, systems, and/or hardware solutions that support the collection, analysis, manipulation, or visualization of large-scale data. See the LDAV website for topic details and for details on the “large data” emphasis.

Paper Submission and Formatting Guidelines 
Full paper submissions should be no more than 9+2 pages long (up to 9 pages of main text, up to 2 pages of references) and formatted according to the VGTC formatting guidelines. Short papers (4-5 pages total) are also welcome.

The Best Paper for IEEE LDAV will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG).  Further, other excellent papers will be encouraged to submit journal versions of their work to TVCG (at least 30% new scientific/technical content), with reviewer continuity.

Symposium Chairs: Peer-Timo Bremer, Kristi Potter
Paper Chairs: Steffen Frey, Silvio Rizzi, Gunther H. Weber
Call for Papers
Contact: ldav-papers at googlegroups.com

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 13th IEEE Large Scale Data Analysis and Visualization (LDAV) symposium, to be held in conjunction with IEEE VIS 2023, 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 visualization and visual analytics.

LDAV welcomes papers on techniques and algorithms, systems, application and design studies, empirical studies, state of the practice, and position statements. More descriptions on these paper types can be found below. Representative topics include:

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
Best practices for large data visualization
End-to-end system solutions in a large data context
Industry solutions for big data analysis and visualization
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

As part of the review criteria, reviewers will be asked to assess whether the contribution is in scope for LDAV, i.e., whether it considers “large data”. Therefore, we strongly encourage you to clearly identify the “large data” aspect you address.

For LDAV, we define large data to be data of size and complexity that require innovation to be processed and understood. With respect to size, the techniques for handling this data require either using atypical hardware or specialized techniques that run on typical hardware. Examples of atypical hardware include supercomputers or novel hardware (such as a just-released GPU, an understudied device like a FPGA, or a high-resolution display), with corresponding techniques including, for example, efficient parallelization. There are many examples of specialized techniques that enable typical hardware to operate effectively on large data; canonical examples include multi-resolution and streaming techniques. With respect to complexity, techniques in scope for LDAV should be illuminating data sets that are considerably larger than typical for a given task, for example, but not restricted to: rendering, layout, analysis, etc. Finally, data may be large relative to the resources available, and such examples are welcomed at LDAV. For example, novel techniques may be needed to visualize or analyze data on a Raspberry Pi or sensor network.

Submission
LDAV is accepting both full papers and short papers. The manuscripts should be formatted according to guidelines from IEEE VGTC <http://vgtc.org/publications/conference>. Submission of an abstract is required prior to submission of a full or short paper.

Submission site note: Go to the submission site <https://new.precisionconference.com/vgtc> (https://new.precisionconference.com/vgtc), log in, go to ‘Submissions’, and select Society ‘VGTC’, Conference ‘LDAV 2023’, and Track ‘LDAV 2023 Papers’.

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 are a venue to report smaller contributions than full papers and should have a length of 4-5 pages in total. 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.

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 2023.

The Best Paper for IEEE LDAV will be published directly in IEEE Transactions on Visualization and Computer Graphics (TVCG).  Further, other excellent papers will be encouraged to submit journal versions of their work to TVCG (at least 30% new scientific/technical content), with reviewer continuity.
Important Dates
Please note: all deadlines are firm and no extensions will be granted.

Abstract Deadline (extended)
June 16, 2023, 11:59 PM (AOE)
Paper Submission (extended)
June 23, 2023, 11:59 PM (AOE)
Author Notification
July 25, 2023
Camera-Ready Deadline (firm)
August 8, 2023
Paper Type Categories
Technique & Algorithm
System
Application & Design Study
Empirical Study
State of the Practice
Position Statements

Technique & Algorithm
A technique or algorithm paper introduces a novel technique or algorithm that has not previously appeared in the literature, or that significantly extends known techniques or algorithms. The technique or algorithm description provided in the paper should be complete enough that a competent graduate student in visualization could implement the work, and the authors should create a prototype implementation of the methods. This technique should ideally be of general application rather than be restricted to a single task or single source of data, and the exposition should be focused on what the technique does, how it does it, the tasks and data sets for which this new method is appropriate, and what the computational and other costs are. An evaluation is likely to strengthen the paper, in particular on large data.

System
A system paper describes a solution to a problem where the major task is building a large complex software artifact, applying largely known visualization techniques. The system that is described is both novel and important, and has been implemented. Here, the focus should be on the design decisions, the implications for software / hardware structure, and comparison with other systems. The comparison includes specific discussion of how the described system differs from and is, in some significant respects, superior to those systems.

Application & Design Study
An application or design study paper explores the choices made when applying visualization techniques in an application area, for example relating the visual encodings and interaction techniques to the requirements of the target task. These papers typically include an encapsulated description of a problem domain and the questions to be resolved by visualization, then describes the application of visualization to the task, any novel techniques developed, and how the visualization solution answered the questions posed. The results of the study, including insights generated in the application domain and visualization knowledge generated through the research process, should be clearly conveyed. The work will be judged by the design lessons learned or insights gleaned for visualization research - which may or may not include novel visualization techniques, algorithms, or systems - on which future contributors can build. We invite submissions on any application area dealing with large data.

Empirical Study
An empirical study paper explores the usage of visualization by people or provides a detailed analysis of the characteristics of a visualization approach, for example, its technical performance. This kind of paper presents a study, either qualitative or quantitative, of visualization techniques or systems. The research contribution will be judged on the validity and importance of the results, including, where appropriate, the definition of hypotheses, tasks, data sets, the rigorous collection and examination/analysis/coding of data, the selection of subjects and cases, as well as validation, discussion, and conclusions.

State of the Practice
State of the practice reports provide an up-to-date and comprehensive overview of a special topic of current interest related to large data analysis and visualization. State of the art reports on cross-sectional, multi-disciplinary areas with a common theme of large data are highly welcomed.

Position Statements
A position paper presents an arguable opinion about an issue, accepted assumption, or technique relevant to large data analysis or visualization. This kind of paper takes an opinionated stance and justifies this stance with corroborating evidence. A position paper often takes evidence from previous publications and other existing information rather than making new studies. The paper is judged on the presentation of a convincing, evidence-based position and the importance of that position. Position papers that buck tradition by providing well-reasoned arguments for a stance that is counterintuitive or contrary to common knowledge are highly valued.


Text for Call for Posters
Contact: ldav-posters at googlegroups.com

We invite you to submit unpublished work to the IEEE LDAV 2023 Poster Program. It is a venue designed to highlight ongoing research and late breaking topics that have produced promising preliminary results. The poster program will be a great opportunity for the authors to interact with the symposium attendees and solicit feedback.

In addition to the topics listed under Call for Papers <https://ldav.org/2023/call-for-papers.html>, we also welcome submissions that:

showcase successful stories of applying visualization to large-scale data intensive applications, and
highlights of recent visualization work presented or published in another venue.

Interested authors should submit a two-page summary that describes the underlying problem, the proposed method, and preliminary results. Accepted summaries will be included in the symposium proceedings. The format of the summary will be the same as the format used for the regular paper submission. Poster authors are encouraged, but not required, to include a draft or sketch of the poster layout and content in their submission. This would help reviewers and show that the poster format is used effectively. The draft poster should be in PDF format. The authors should indicate if they would like the poster to be accompanied by an on-site demonstration and/or videos. Such demo/video presentations have to be self-organized.

Poster 2-Page Summary Submission Instructions
Submitted summaries may not exceed the maximum of two pages in length including references. The summary should be formatted according to guidelines available on the VGTC Website <http://vgtc.org/publications/conference]IEEE>.

Submission Site: Go to the submission site <https://new.precisionconference.com/~vgtc>, log in, go to ‘Submissions’, and select

Society: ‘VGTC’
Conference/Journal: ‘LDAV 2023’
Track: ‘LDAV 2023 Posters’.

Layout and Dimensions of the Posters
The dimensions of the posters should not exceed the A0 portrait space (841mm x 1189mm or 33.1” x 46.8”). The poster authors can determine the layout by themselves, but please be sure to follow the dimensions described above.

Best Poster Award
The LDAV Program Committee will award the Best Poster Award to the authors whose submission is deemed the strongest according to the reviewing criteria. This award will be announced at the event.

Plagiarism
All submissions must be either: 1) original work that has not been presented previously at any workshop, symposium, or conference, or published previously in any archived conference proceeding, magazine, or journal; or 2) a summary that highlights work presented or published in a related venue with a clear statement of attribution to the original work.

At the time of submission, it is required by the authors to state explicitly in the submission form that the submitted work is the work by the authors themselves, or is a summary of previously presented/published work with clear attribution. Plagiarism in any form is unacceptable and will lead to a removal of the submission from the review process. For more information, please see the IEEE plagiarism FAQ <https://www.ieee.org/publications/rights/plagiarism/plagiarism.html> and the IEEE Publication Services and Products Board Operations Manual <https://pspb.ieee.org/images/files/files/opsmanual.pdf>.

Accepted posters will receive links with instructions to upload video previews and representative images.

Important Dates
Two-page Poster Paper Submission
August 17, 2023, 11:59 PM (AOE)
Author Notification
August 18, 2023
Camera-Ready Deadline
August 21, 2023
Video Preview deadline
September 1, 2023