posted by user: dsachar || 2245 views || tracked by 5 users: [display]

SSDBM 2020 : Statistical and Scientific Database Management


Conference Series : Statistical and Scientific Database Management
When Jul 7, 2020 - Jul 9, 2020
Where Vienna, Austria
Submission Deadline Feb 24, 2020
Notification Due May 4, 2020

Call For Papers

# Call for Contributions

Authors are invited to submit original, unpublished manuscripts. We solicit research papers (long and short), and demo papers. All submissions should be formatted according to the ACM Master Article “sigconf” proceedings template.

SSDBM 2020 is single-blind reviewed; authors must include their names and affiliations on the first page. The submission site is on Easychair.


Long papers are up to 12 pages (including references and appendices), and short papers are up to 4 pages (including references and appendices). The former tend to be descriptions of complete technical work, while the latter tend to be descriptions of interesting, innovative ideas, which nevertheless require more work to mature. The program committee may decide to accept some full papers as short papers. Full papers will be given a presentation slot in the conference, while short papers will be presented in the form of posters. All papers, regardless of size, will be given an entry in the conference proceedings. Authors may optionally include reproducibility information that allows for automated validation of experimental results (see artifact evaluation criteria). Accepted submissions passing automated validation will earn a prestigious “Results Replicated” Badge in the ACM DL in accordance with ACM’s artifact review and badging policy.


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 also be given an entry in the conference proceedings.

## Topics of Interest

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

Modeling of scientific data
Indexing querying scientific data, incl. spatial and temporal data
Provenance data management
Data integration and data provenance
Visualization and exploration of large datasets
Spatial, temporal and spatio-temporal scientific data
Geographical information retrieval - Stream data representation and management
Distributed systems and devices
Stream data analysis, e.g., summarization, statistical analysis, pattern matching and discovery, learning, and prediction
Design, implementation, optimization, and reproducibility of scientific workflows
Security and privacy - Cloud computing issues in large-scale data management
Information retrieval and text mining
System architectures
Case studies (e.g., astrophysics, climate, energy, sustainability, biomedicine)
IoT data analytics
Smart city applications and services

Related Resources

IDEAS 2024   The 28th International Database Engineered Applications Symposium
QDSM 2024   International Workshop on Quantum Data Science and Management @ VLDB 2024
INSCOSES 2024   XVII International Scientific Conference on Service sector INSCOSES 2024
DASFAA 2024   The 29th International Conference on Database Systems for Advanced Applications
ICDT 2025   International Conference on Database Theory
PSD 2024   Privacy in Statistical Databases 2024
IAC-MEBM in Prague 2024   International Academic Conference on Management, Economics, Business and Marketing in Prague, Czech Republic 2024
EDBT 2024   27th International Conference on Extending Database Technology
IEEE SDS 2024   IEEE SDS 2024 : Call for Papers - IEEE Swiss Conference on Data Science - Scientific Track