The DSAA'2026 Survey and Vision Track solicits high-quality, original survey and vision papers that present a structured synthesis or positioning of a particular topic in data science and analytics, including but not limited to theoretical foundations, technical developments, practical advancement, applications, and risk mitigation. Papers accepted to the Survey and Vision Track will be published in the DSAA'2026 conference proceedings (same as for the Research Track, and Application, Data and Benchmark Track).
Topics of interest include but are not limited to
- Survey and review papers
- Vision and position papers
- Expert opinion and perspective papers
- Evaluation and reflection papers
Submissions for the DSAA'2026 Survey and Vision Track should very clearly specify the state-of-the-art problem being addressed, with comprehensive taxonomy, conceptual structure, challenges, gap analysis, critical analysis, performance comparison and evaluation, and discussion on future directions. The list of authors should contain at least one author who has contributed significantly to the topic area and literature with expertise and specialties in the area.
Paper Submission
All papers should be submitted electronically via
Open Review (under the "Survey and Vision Track").
- The length of each paper submitted to the Survey and Vision Track should be no more than ten (10) pages of technical content plus additional pages solely for references and should be formatted following the standard 2-column U.S. letter style of IEEE Conference template.
- For further information and instructions, see the IEEE Proceedings Author Guidelines.
All submissions will be blind reviewed by the Program Committee for the Survey and Vision Track on the basis of technical quality, relevance to the conference's topics of interest, originality, significance, and 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 paper formatting and authors anonymity will be rejected without reviews.
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 to this rule applies to arXiv papers that were published in arXiv at least a month prior to DSAA'2026 submission deadline. Authors can submit these arXiv papers to DSAA provided that the submitted paper's title and abstract are different from the one appearing in arXiv.
Enquiries
General enquiries about Survey and Vision Track paper submissions should be submitted to Track Chairs.
Survey and Vision Track Chairs
- Qingsong Wen, Squirrel Ai Learning, USA
- Erol Gelenbe, Institute of Theoretical and Applied Informatics, Polish Academy of Sciences, Poland
- Satish Narayana Srirama, University of Hyderabad, India