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ICDT 2027: International Conference on Database Theory

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Submission Date:
2026-09-03
Notification Date:
2026-12-01
Conference Date:
2027-04-06
Location:
Lille, France
Years:
30
CCF: B   ICORE: A   QUALIS: B1   Viewed: 92484   Tracked: 78   Attend: 13

Conference Partner Index (CP-I)

71.7 / 100
Ranked #298 of 5,650 conferences · Top 6%

#16 of 337 in Data Mining & Databases

Academic recognition (35%)
88
Submission selectivity (20%) No data - scored at the neutral baseline of 50 —
Editions held (20%)
92
Community attention (10%)
72
Public record completeness (15%)
35

Inputs used: Listed as CCF B, ICORE A, QUALIS B1 · Editions on record: 30 · Researchers following it here: 78 · Researchers who opened this page in the past 24 months: 52

Missing from the public record: Historical acceptance rates (+4.5) · Past editions (+3.0) · Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 80% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-05

Call For Papers

ICDT 2027 (International Conference on Database Theory) is a CCF B / ICORE A / QUALIS B1 conference held in Lille, France on 2027-04-06. The paper submission deadline is 2026-09-03. Acceptance notifications are sent on 2026-12-01.

Topics of Interest We welcome research papers on every topic related to the principles and theory of data management, provided that there is a clear connection to foundational aspects. This includes, for example, articles on "classical" data management topics such as the following. The theoretical investigation of various aspects underlying data management systems (e.g., Indexes, Concurrency and recovery, Distributed and parallel databases, Cloud computing, Privacy and security, Graph databases, Data streams and sketching, Data-centric (business) process management and workflows, Data and knowledge integration and exchange, Data provenance, Views, Data warehouses, Domain-specific databases - multimedia, scientific, spatial, temporal, text data, ...). The design and study of data models and query languages. The development and analysis of algorithms for data management. This also includes papers exploring existing or identifying new connections between data management and other areas, such as the areas of: knowledge representation, semantic web, web services, information retrieval and data mining, machine learning and artificial intelligence, distributed computing, and theoretical computer science. In all of the above, a clear emphasis on foundational aspects is expected. You may want to check https://dblp.org/db/conf/icdt/index.html to get an overview of previous editions of ICDT. The Program Committee reserves the right to desk reject a submission when it is regarded to be out of scope.
Last updated by Dou Sun on

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