Conference Information
SSDBM 2022: International Conference on Scientific and Statistical Database Management
https://ssdbm.org/2022/
Submission Date:
2022-02-28
Notification Date:
2022-05-06
Conference Date:
2022-07-06
Location:
Copenhagen, Denmark
Years:
34
CCF: c   CORE: a   QUALIS: a2   Viewed: 21070   Tracked: 45   Attend: 9

Call For 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 34th 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 2022 will be hosted by the University of Copenhagen and will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship and exchange of ideas.

This year the focus is on climate changes and sustainability, with a special emphasis on technologies and systems to provide an efficient use of infrastructures, resources, and services in order to guarantee sustainable and inclusive growth, sustainable urban–rural transformation through decarbonization, confront climate risks, etc.

The best papers will be considered for publication in the Distributed and Parallel Databases (DAPD) – An International Journal of Data Science, Engineering, and Management, Springer, ISSN: 0926-8782.

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

    Database support of machine learning and AI
    Modeling of scientific data
    Indexing querying scientific data, spatial and temporal data
    Provenance data management
    Data integration
    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
    Edge computing
    Graph analytics
    Information retrieval and text mining
    System architectures
    Case studies (e.g., astrophysics, climate, energy, sustainability, biomedicine)
    Internet of Things data analytics
    Smart city applications and services
Last updated by Dou Sun in 2022-01-26
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