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36th International Conference on Scientific and Statistical Database Management

July 10–12, 2024 — Rennes France

Paper submission deadline (Main Track): April 29 May 8, 2024

Paper submission deadline (Short papers): May 6 May 20, 2024

Paper submission deadline (Demo papers): May 6 May 20, 2024

Paper submission deadline (Posters): June 21 June 30, 2024

Notification for acceptance (Papers): June 3 June 8, 2024

Notification for acceptance (Short papers): June 10 June 11, 2024

Notification for acceptance (Demo papers): June 10 June 11, 2024

Camera-Ready Deadline: July 5 2024

Author Registration Deadline: June 24, 2024

Inria

Call for Demo Papers

The SSDBM international conference brings together scientific domain experts, database researchers, practitioners, and developers for the presentation and exchange of current research results on concepts, tools, and techniques for scientific and statistical database applications. The 36th SSDBM will provide a forum for original research contributions and practical system design, implementation and evaluation. The conference program typically consists of a single track to facilitate discussion, and contains presentations of invited talks, panel sessions, and demonstrations of research prototypes and industrial systems.

SSDBM 2024 will be hosted by the Inria centre at Rennes University and will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship and exchange of ideas in all aspects of research related to scientific and statistical data management, and high-performance data analysis tools and techniques for distributed datasets.

The Proceedings of SSDBM 2024 will be published by Association of Computing Machinery (ACM) International Conference Proceeding Series (ICPS) and will appear in the ACM Digital Library and many indexing providers.

Submission Guidelines

Authors are invited to submit original, unpublished manuscripts. All submissions should be formatted using the ACM format available at https://www.acm.org/publications/proceedings-template by selecting the generic “sigconf” sample. For submissions prepared in LaTex, authors are recommended to use \documentclass[sigconf,review]{acmart} configuration. SSDBM 2024 is single-blind reviewed; authors must include their names and affiliations on the first page. All authors should respect ACM Policy on Authorship and use of large language models (LLMs). At least one author of each accepted paper or poster must register and plan to attend the conference in-person. Each author registration can be applied to only one accepted submission.

Demo Papers

Demo papers are up to 4 pages (including references and appendices). Proposals should provide the motivation for the demonstrated concepts, the information about the technology and the system to be demonstrated (including a system description, functionality and figures when applicable), and should state the significance of the contribution. Selection criteria for the demonstration proposals evaluation include: the novelty, the technical advances and challenges, and the overall practical attractiveness of the demonstrated system. Demo papers will be given a short presentation slot in the conference and presented in the form of posters. Demo papers will be given an entry in the conference proceedings.

Important note to authors about the new ACM open access publishing model

ACM has introduced a new open access publishing model for the International Conference Proceedings Series (ICPS). Authors based at institutions that are not yet part of the ACM Open program and do not qualify for a waiver will be required to pay an article processing charge (APC) to publish their ICPS article in the ACM Digital Library. To determine whether or not an APC will be applicable to your article, please follow the detailed guidance here: https://www.acm.org/publications/icps/author-guidance.

Further information may be found on the ACM website, as follows:

Please direct all questions about the new model to icps-info@acm.org.

Topics of Interest

Topics of particular interest include, but are not limited to, the following, as they relate to scientific and statistical data management: