D2AI 2026

Shenyang, China

Call for Papers

Aims and Scope

D2AI 2026, held in conjunction with ICDM, focuses on data and database systems for modern AI. Foundation models, LLMs, and autonomous agents are reshaping how data is collected, represented, retrieved, reasoned over, governed, and served. This workshop aims to bring together researchers and practitioners from databases, data mining, machine learning systems, and AI infrastructure to discuss principled, scalable, efficient, and trustworthy data foundations for AI-native workloads.

We invite original research papers, system papers, benchmark papers, vision papers, and industry experience reports that advance the interaction between data systems and modern AI.

Topics of Interest

Relevant topics include, but are not limited to:

Submission Categories

D2AI 2026 welcomes the following types of submissions:

Papers should clearly state their contribution, explain their relevance to D2AI, and position the work with respect to related research and systems.

Important Dates

All submission deadlines follow the Anywhere on Earth (AoE) time zone(UTC-12) .

Submission Instructions

Submissions must be original and must not have been published previously or be under review in another journal, conference, or workshop. Manuscripts must be submitted electronically through the Microsoft CMT submission system; email submissions will not be accepted. Authors should submit through the D2AI 2026 CMT submission site.

All papers must be formatted in the IEEE 2-column format and must follow the page limits listed under Submission Categories. Submissions exceeding the specified page limits may be rejected without review.

At least one author of each accepted paper must register for ICDM 2026 with a valid workshop or full conference registration and is expected to present the paper in person. Online presentation requests require approval from the organizing committee.

Review Process

D2AI 2026 uses a single-blind review process: reviewers will see author names and affiliations, while reviewer identities remain confidential. Submitted manuscripts do not need to be anonymized and must include author names, affiliations, and contact information. Authors may cite their own prior work in the usual style and may include acknowledgements when appropriate. Submissions will be evaluated by the Program Committee based on originality, significance, technical quality, relevance to D2AI, and clarity of presentation.

Submission Link

Submissions will be handled through the Microsoft CMT submission system: https://cmt3.research.microsoft.com/DDAI2026.

Acknowledgement

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.