VLDB 2026: Call for Contributions - Tutorials

VLDB 2026 invites submissions for tutorial proposals on all topics of potential interest to the conference attendees. Tutorial proposals should cover state-of-the-art research, development, and applications in specific data management related areas, and stimulate and facilitate future work. Tutorials on interdisciplinary directions, bridging scientific research and applied communities, novel and fast-growing directions, and significant applications are highly encouraged. We encourage tutorials in areas that may be different from the usual VLDB mainstream, but still very much related to VLDB mission and objectives of managing big data. We also encourage tutorials that cover topics on applying machine learning to solve data management problems and using data management systems for machine learning workloads. Tutorials should be targeted for a broad audience, and they must focus neither excessively, nor exclusively, on the authors' own work.

Important Dates

All deadlines below are 5 PM Pacific Time.

Submission Guidelines

Tutorial submissions must be submitted electronically, in pdf format, at the conference submission site: CMT. Submissions should be formatted using the PVLDB style templates, with a maximum length of 4 pages, excluding references.

Proposals should include:

Accepted Tutorials

TBC

Tutorial Chairs

Tutorial Committee