**Due to numerous requests, the submission deadline has been extended until
March 21 and the conference will now be an online event.

===========================================================================

                           Call for Papers (Extended Deadline and Online
Event)

33rd International Conference on Scientific and Statistical Database
Management (SSDBM 2021)
July 6-7, 2021, Tampa, Florida, USA
Conference Web: http://ssdbm.org/2021/
Submission link: https://easychair.org/conferences/?conf=ssdbm21.

**IMPORTANT: The safety and well-being of all conference participants is
our priority. After evaluating the current COVID-19 situation, the decision
has been made to run SSDBM 2021 as an online event. The conference will no
longer take place in Tampa, Florida and will take place virtually instead.


Important Dates
---------------------

Submission deadline: March 21, 2021 (new)
Notifications: May 16, 2021 (new)
Camera-ready deadline: June 6, 2021


Scope and Topics
-----------------------

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
33rd 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 2021 will be hosted by the University of South Florida at Tampa,
Florida, USA, 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 Database System Support of
AI/Machine Learning/Data Mining. SSDBM 2021 aims at soliciting original
ideas on Database System Support of AI/Machine Learning/Data Mining
including challenges and opportunities, concepts and applications, and
future trends. Topics from other areas of data management, databases, and
information systems are welcome, as long as the submitted work is original,
unpublished, and not under consideration for publication anywhere else.

The Proceedings of SSDBM 2021 will be published by ACM - International
Conference Proceedings Series (ICPS) and will be available in the ACM
Digital Library. 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
(pending).

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

- DB support of machine learning and AI
- Modeling of scientific data
- Indexing and querying scientific data, including spatial and temporal data
- Provenance data management
- Data integration
- Visualization and exploration of large datasets
- Spatial, temporal and spatio­temporal scientific data
- Geographical information retrieval
- 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


Submission Guidelines
------------------------------

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 2021 is single-blind reviewed; authors must include their
names and affiliations on the first page.

Long research papers (up to 12 pages) should be descriptions of complete
technical work, while short papers (up to 4 pages) should describe
interesting, innovative ideas, which nevertheless require more work to
mature, or are vision papers. The program committee may decide to accept
some long papers as short papers. Long papers will be given a presentation
slot in the conference, while short papers will be presented in the form of
posters.

Demo papers up to 4 pages 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.

All papers will be given an entry in the conference proceedings.


Submission site and contact information
----------------------------------------------------

The submission site is on Easychair (
https://easychair.org/conferences/?conf=ssdbm21).

Please send any inquiries regarding the conference to:
ssdbm2021cha...@gmail.com.


Organizers
---------------

General Chair: Yicheng Tu, University of South Florida, USA

Program Committee Chairs:
   Qiang Zhu, University of Michigan - Dearborn, USA
   Xingquan (Hill) Zhu, Florida Atlantic University, USA

Demo Chair: Zichen (Frank) Xu, Nanchang University, China

Proceedings Chair: Anand Kumar, Amazon, USA

Web Chair: Minh Pham, University of South Florida, USA
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