The DSAA'2026 Research Track solicits high-quality, original papers presenting novel issues of Data Science and Advanced Analytics across various disciplines and domains, including statistics, informatics, and computing, alongside shallow to deep representation, processing, analytics, learning, inference, optimization, visualization, and presentation.
Topics of interests include but are not limited to:
Data science foundations and theories
Mathematics and statistics for data science and analytics
Understanding data characteristics and complexities
Machine/deep/statistical learning-based algorithms
Advanced analytics and knowledge discovery methods
Computer vision and pattern recognition
Optimization theories and methods
Large-scale databases, big-data processing, distributed processing, and analytics
Model, analytics and learning actionability, reproducibility and provenance
Theories and methods for evaluation, explanation, visualization, and presentation
Ethical, trustworthy and responsible data analytics

Submissions for the DSAA'2026 Research Track should very clearly specify the problem being solved, what methodologies were used to solve the problem, what data was used, how the results were evaluated, and how the solution is being used.

Paper Submissions
All papers should be submitted electronically via Open Review (under the Research Track).

The length of each paper submitted to the Research tracks should be no more than seven (7) pages of technical content plus additional pages solely for references and should be formatted following the standard 2-column U.S. letter style of the DSAA Conference template. For further information and instructions, see the DSAA Proceedings Author Guidelines.

All submissions will be blind reviewed by the Program Committee on the basis of:

Technical quality
Relevance to the conference's topics of interest
Originality
Significance
Clarity
Author names and affiliations must not appear in the submissions, and bibliographic references must be adjusted to preserve author anonymity. Submissions failing to comply with formatting or anonymity will be rejected without review.

Because of the double-blind review process, non-anonymous papers that have been issued as technical reports or similar cannot be considered for DSAA'2026. An exception applies to arXiv papers that were published in arXiv at least one month prior to the DSAA'2026 submission deadline, provided that the submitted paper's title and abstract differ from the arXiv version.