The DSAA'2026 Industry Track solicits industry contributions in data science and analytics, in any business domain, to be presented as a talk or poster in a dedicated session.
We seek industrial research, innovative and impactful applications of data science and analytics in industry, including case studies, best practices, insights, impacts, lessons learned, or interesting and challenging problems with a potential to spark new collaborations with academia.
Accepted contributions will be presented as a talk or poster in a dedicated industry session at the conference.
To qualify for the Industry Track, the submission is expected to address real-world problems using real-world data, and demonstrate innovation, insight, and technical depth.
Paper Submissions
All papers should be submitted electronically via OpenReview (under the Industry Track).
Regular Papers: Maximum 4 pages + References, formatted per IEEE Conference 2-column U.S. letter style.
Double-blind review: DSAA'2026 operates a double-blind review process. Submissions must not include author names or other identifying information. These will be added only after acceptance.
Note: Works issued as technical reports or similar cannot be considered for DSAA'2026. An exception applies for arXiv papers published at least one month before the DSAA'2026 submission deadline, provided the title and abstract differ from the arXiv version. Papers appearing on arXiv after the DSAA'2026 submission deadline until the end of review are not allowed.
Proceedings and Indexing
All accepted papers will be published by IEEE, submitted for inclusion in the IEEE Xplore Digital Library, and for EI indexing through INSPEC.