ICDT: International Conference on Database Theory



Past:   Proceedings on DBLP

Future:  Post a CFP for 2024 or later   |   Invite the Organizers Email


All CFPs on WikiCFP

Event When Where Deadline
ICDT 2023 International Conference on Database Theory
Mar 28, 2023 - Mar 31, 2023 Ioannina, Greece Mar 21, 2022 (Mar 14, 2022)
ICDT 2021 International Conference on Database Theory
Mar 23, 2021 - Mar 26, 2021 Cyprus Sep 28, 2020 (Sep 21, 2020)
ICDT 2014 International Conference on Database Theory
Mar 24, 2014 - Mar 27, 2014 Athens, Greece Aug 23, 2013 (Aug 16, 2013)
ICDT 2013 16th International Conference on Database Theory
Mar 18, 2013 - Mar 22, 2013 Genoa, Italy Aug 24, 2012 (Aug 17, 2012)
ICDT 2012 15th International Conference on Database Theory
Mar 26, 2012 - Mar 30, 2012 Berlin, Germany Jul 29, 2011 (Jul 22, 2011)
ICDT 2011 14th International Conference on Database Theory
Mar 21, 2011 - Mar 24, 2011 Uppsala, Sweden Aug 14, 2010 (Aug 7, 2010)
ICDT 2010 13th International Conference on Database Theory
Mar 22, 2010 - Mar 25, 2010 Lausanne, Switzerland Sep 6, 2009 (Aug 31, 2009)
ICDT 2009 12th International Conference on Database Theory
Mar 23, 2009 - Mar 26, 2009 Saint-Petersburg, Russia Aug 14, 2008 (Aug 7, 2008)

Present CFP : 2023

26th International Conference on Database Theory (ICDT 2023)

ICDT is an international conference series on the principles and theory of data management. Since 2009, it is annually and jointly held with EDBT, the International Conference on Extending Database Technology. See also https://databasetheory.org/icdt-pages.

The 26th edition of ICDT is planned to take place in Ioannina, Greece, from 28–31 March 2023 (tentative dates).

**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 design and study of data models and query languages;
- The development and analysis of algorithms for data management;
- The theoretical investigation of various aspects underlying data management systems (indexes, concurrency, distributed computation, privacy and security, ...),

but also includes papers exploring existing or identifying new connections between data management and other areas, such as the areas of:

- knowledge representation, semantic web;
- information retrieval and data mining;
- machine learning;
- distributed computing;
- 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.

**Submission Cycles and Dates

ICDT has two submission cycles, the first providing the possibility of a revision.


March 14, 2022 (AoE): Abstract submission deadline
March 21, 2022 (AoE): Paper submission deadline
May 20, 2022: Notification


September 14, 2022 (AoE): Abstract submission deadline
September 21, 2022 (AoE): Paper submission deadline
November 20, 2022: Notification

**Submission Instructions

All submissions will be electronic via Easychair at

Papers must be written in English and provide sufficient detail to allow the program committee to assess their merits. The results must be unpublished and not submitted for publication elsewhere, including the proceedings of other symposia, workshops, and journals.

Papers must be submitted as PDF documents, using the LIPIcs style (http://www.dagstuhl.de/en/publications/lipics/instructions-for-authors). Paper length is limited to 15 pages excluding references. Additional details may be included in a clearly marked appendix which will be read at the discretion of the program committee. Online appendices are not allowed. Papers that do not conform to these requirements may be rejected without further consideration.

The proceedings will appear under an open access license in the Leibniz International Proceedings in Informatics (LIPIcs) series, based at Schloss Dagstuhl. More specifically, all articles in LIPIcs are published under a Creative Commons Attribution (CC-BY) license. Thereby, the authors retain their copyrights and readers can re-use the published work in the most meaningful manner. The proceedings will also appear in Scopus.

At least one author of each accepted paper is expected to register at the conference and present the paper.

**Program Committee

Program Committee Chair:
Floris Geerts (University of Antwerp)

Program Committee Members:
Sepehr Assadi (Rutgers University)
Vaishak Belle (The University of Edinburgh)
Leopoldo Bertossi (Universidad Adolfo Ibanez)
Graham Cormode (The University of Warwick)
Wolfgang Gatterbauer (Northeastern University, USA)
Ahmet Kara (University of Zurich)
Batya Kenig (Technion, Israel Institute of Technology)
Bas Ketsman (Vrije Universiteit Brussel)
Ester Livshits (The University of Edinburgh)
Wim Martens (University of Bayreuth)
Liat Peterfreund (CNRS, Université Gustave Eiffel)
Reinhard Pichler (Vienna University of Technology)
Andreas Pieris (University of Cyprus, The University of Edinburgh)
Marcin Przybyłko (University of Bremen)
Juan L. Reutter (Pontificia Universidad Católica)
Sudeepa Roy (Duke University)
Jef Wijsen (University of Mons)
Ke Yi (Hong Kong University of Science and Technology)
Thomas Zeume (Ruhr-Universität Bochum)

Proceedings Chair:
Brecht Vandevoort (Hasselt University)

An award will be given to the Best Paper and to the Best Newcomer Paper where `newcomer' refers to the field of database theory. The latter award will preferentially be given to a paper authored only by students and in that case be called Best Student-Paper Award. The program committee reserves the right to not give any award and to split an award among several papers. Papers co-authored by program committee members are not eligible for an award.

*A more traditional list of topics (not exclusive): ICDT welcomes papers on any topic related to principles of data management such as, for example, data mining, information extraction, information retrieval, database aspects of machine learning, distributed and parallel databases, cloud computing, graph databases, (semantic) Web data, web services, data streams, 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 privacy and security, concurrency, and recovery.

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