[hpc-announce] Call for Participation: 35th International Conference on Scientific and Statistical Database Management (SSDBM 2023)

[Robert Schuler]

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        SSDBM 2023: Call for Participation
        July 10-12, 2023 – Los Angeles, CA
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We warmly invite you to attend SSDBM 2023 in Los Angeles, California, USA!

35th International Conference on Scientific and Statistical Database Management
Los Angeles, California USA
July 10-12, 2023

Conference Website: https://ssdbm.org/2023

SSDBM 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 35th SSDBM will provide a forum for original research contributions and practical system design, implementation and evaluation. The conference program consists of a single track to facilitate discussion, and contains presentations of invited talks, poster sessions, and demonstrations of research prototypes.

SSDBM 2023 will be hosted by the University of Southern California’s Information Sciences Institute (USC/ISI) and will continue the tradition of past SSDBM meetings in providing a stimulating environment to encourage discussion, fellowship and exchange of ideas. The conference will be located in Marina del Rey, California along the greater Los Angeles coast within a short distance of the Los Angeles International Airport (LAX).

# REGISTRATION

SSDBM 2023 is now open for registration! 

See: https://ssdbm.org/2023/register

# KEYNOTE SPEAKERS

- Helen M. Berman
Board of Governors Distinguished Professor Emerita of Chemistry and Chemical Biology, Rutgers University

- Andy Maltz
Media Technologist/Executive/Co-author, The Digital Dilemma: Strategic Issues in Archiving and Accessing Digital Motion Picture Materials

- Chris Mattmann
Chief Technology and Innovation Officer (CTIO), National Aeronautics and Space Administration, Jet Propulsion Laboratory (NASA JPL)

# LIST OF TOPICS

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 and querying scientific data, including spatial, temporal, and streaming data
- FAIR data principles (Findable, Accessible, Interoperable, Reusable)
- Provenance data management
- Schema evolution
- Data integration
- Visualization and exploration of large datasets
- Spatial, temporal and spatio-temporal scientific data
- Geographical information retrieval
- Location-aware recommender systems
- Stream data representation and management
- Stream data analysis, e.g., summarization, statistical analysis, pattern matching, pattern 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)
- Distributed systems and devices
- Internet of Things data analytics
- Smart city applications and services

# ACCEPTED PAPERS

The program consists of 16 long research papers, 8 short papers and posters, and 1 demonstration paper. 

For a complete list of accepted papers, see: https://ssdbm.org/2023/accepted-papers

# ORGANIZATION

- General Chair: Carl Kesselman, USC Information Sciences Institute
- Program Chair: Robert Schuler, USC Information Sciences Institute
- Poster Chair: Kyle Chard, University of Chicago and Argonne National Lab

Program Committee: https://ssdbm.org/2023/committee

# CONTACT

All questions should be directed to Rob Schuler (mailto:schuler at isi.edu).