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DSAA’2026 call for papers, special tracks/sessions, and tutorials

The 2026 13th International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (via IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship in data science and analytics such as by the Google Metrics, China Computer Foundation, and Australian CORE Ranking as an influential event in the area. The 13th International Conference on Data Science and Advanced Analytics (DSAA’2026) provides a premier forum that brings together researchers, industry and government practitioners, as well as developers and users of big data solutions for exchange of ideas on the latest developments in data science and on the best practice for a wide range of applications.

Research Track

This track solicits the latest, original and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to:

  • Data science foundations and theories
  • Mathematics and statistics for data science and analytics
  • Understanding data characteristics and complexities
  • Data quality and misinformation
  • Machine/deep/statistical learning-based algorithms and models
  • Generative AI, large language modeling
  • Advanced analytics and knowledge discovery methods
  • Computer vision and pattern recognition
  • Optimization, inference, and regularization
  • Theories and methods for evaluation, explanation, visualization, and presentation
  • Survey, review, vision and position
Application, Data and Benchmark Track

This track solicits high-quality, original papers describing applications, datasets, and benchmarks of Data Science and Advanced Analytics across various disciplines and domains, including business, government, health and medical science, physical sciences, and social sciences. The focus is on papers that would be of interest to practitioners of Data Science and Advanced Analytics or would highlight new challenges for researchers driven by the specific needs and characteristics of application areas.

Topics of interest include but are not limited to:

  • Large-scale databases, big-data processing, distributed processing, and analytics
  • Generative AI and LLM applications
  • Domain-specific data science and analytics, including customer analytics, business analytics, financial analytics, risk analytics, operational analytics, and management analytics
  • Data science and analytics for health, care, medicine, biomedical science, humanity, and human science
  • Data science for scientific domains, such as physics, astronomy, chemistry, biology and material science
  • Data science for engineering such as electrical, mechanical, manufacturing, mining, and environmental engineering
  • Government analytics and enterprise analytics
  • Data science for social and public good and impact
  • Cloud, crowd, online, mobile, decentralized, edge and distributed data analytics
  • Business, economic, environmental, social and sustainable impact modeling
  • Impactful real-world applications, case studies and demonstrations
  • Operationalizable infrastructures, platforms, and tools
  • Deployment, management and policy-making
  • System implementations and software demonstrations
  • Ethics, social issues, privacy, trust, responsibility, reproducibility, fairness and bias
  • Reflections and lessons for better data/analytics practices

Submissions for both the research and applications tracks 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 (ideally in production). Applying new data science methods to public data or data downloaded from competition sites (such as Kaggle), without a real problem (and problem owner) will not be accepted in this track.

Journal Track

We plan to organize two journal tracks on specific topics including with Machine Learning (MLJ) and International Journal of Data Science and Analytics (JDSA). The track solicits papers that meet the typical journal paper quality and at the same time are also appropriate for giving conference presentations. Survey, position and vision papers are also welcome for the journal track. Papers will be directly submitted and reviewed by the journals, and a presentation with registration made to the conference’s journal track.

Submissions that do not meet these eligibility criteria may be rejected without formal review but could be resubmitted as regular papers to the journal or the DSAA conference for review. Authors who submit their work to this journal track commit themselves to present their papers at DSAA’2026 if their papers are accepted.

Paper Length, Formatting, and Reviewing

The paper length allowed for the papers in the Research and Application, Data and Benchmark tracks is a maximum of seven (7) pages. The format for both types of papers is the standard 2-column U.S. letter style IEEE Conference template. See the IEEE Proceedings Author Guidelines: http://www.ieee.org/conferences_events/conferences/publishing/templates.html for further information and instructions.

All submissions will be double-blind reviewed by the Program Committee 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.

All accepted papers and posters will be published by IEEE and will be submitted for inclusion in the IEEE Xplore Digital Library. The conference proceedings will be submitted for EI indexing through INSPEC by IEEE. Top quality papers accepted and presented at the conference will be selected for extension and invited to the special collections such as to the International Journal of Data Science and Analytics.

Important Dates

Please refer to DSAA’2026 website for information about the dates for submissions to Research Track, Application, Data and Benchmark Track, Journal Track, Special Track, Special Sessions, Tutorials, etc. 

Website

Website:http://dsaa2026.dsaa.co 

Submission

Submission website at OpenReview:
DSAA’2026 submission system

Email: contacts@dsaa.co