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5月31日 - 2026年6月05日

排名: A* (CORE2023)Offline

ACM SIGMOD-SIGACT-SIGART Conference on Principles of Database Systems

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Bengaluru, IndiaNo publisher

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The 2026 ACM SIGMOD/PODS Conference will be held in Bengaluru, India, from May 31 to June 05, 2026. This leading international forum for database researchers, practitioners, developers, and users will feature a technical program including research and industrial talks, tutorials, demos, workshops, and a poster session.

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PODS 2026: Call for Research Papers

The Principles of Database Systems (PODS) symposium series, held in conjunction with the SIGMOD conference series, provides a premier annual forum for the communication of new advances in the theoretical foundations of data management, traditional or nontraditional.

The 2026 conference will be held in Bengaluru, India, on May 31 - June 05, 2026.

Mission

The PODS community aims to provide a solid scientific basis for methods, techniques, and solutions for data management challenges in our data-driven society. It develops new ways of advancing data management to reflect the rich landscape of data requirements in applications nowadays, focusing on efficiency, scalability, usability, expressiveness, robustness, security, clarity, and privacy.

Scope

PODS seeks scientific articles that present principled contributions to modeling, application and system building in the context of data management. This includes theoretical results, new concepts and frameworks, experimental work, and rigorous analysis of industry artifacts. PODS promotes an active exchange of tools and techniques with other data management communities, especially those papers that help integrate data management techniques within broader computer science.

Topics of Interest

Topics include, but are not limited to:

  • Database processing: Query evaluation, query optimization, schema management, distributed data processing, approximate data processing
  • Database design: Data models, query languages, schemas, constraints
  • Database access: Data structures, access methods, concurrency, transactions
  • Data quality: Data cleaning, data discovery, data exploration
  • Data analysis: Data mining, machine learning, information extraction, data streams
  • Uncertainty: Incompleteness, inconsistency, ontological query answering, semi-structured data
  • Interoperability: Mappings and views, data integration, data exchange, ontology-based data access
  • Responsible data management: Access control, privacy, security, verification, ethical aspects of data management
  • Human-database interaction: data summarization, data visualization, explanation for database queries
  • Connections between database principles and other disciplines

Submission Site

Submissions should be made through the EasyChair portal: https://www.easychair.org/my/conference?conf=pods2026

Submission Format

  • LaTeX users must format their submission using the standard ACM "acmsmall" proceedings stylesheet: https://www.acm.org/publications/proceedings-template
  • Use the following class declaration:
    \documentclass[acmsmall,review,anonymous]{acmart}
    
  • A submission can be up to 15 pages, not including references. Unlimited space is allowed for references.
  • Additional details may be included in a clearly marked appendix, of unlimited length, which should be incorporated at submission time. Appendices will be read at the discretion of the program committee.
  • Papers that are longer than 15 pages or do not adhere to the required format risk rejection without consideration of their merits.
  • Submitted results must be unpublished and not submitted elsewhere.

Double-Anonymous Reviewing

PODS 2026 will use a lightweight double-anonymous reviewing process.

  • Author names and institutions must be omitted.
  • References to the authors’ own related work should be in the third person.
  • Acknowledgements, grant numbers, and links to submitted papers in public repositories will not be allowed.

Important Dates

All deadlines are 11:59 PM AoE.

FIRST SUBMISSION CYCLE:

  • Abstract deadline: June 3, 2025
  • Full paper submission deadline: June 10, 2025
  • Rebuttal: July 29 - August 1, 2025
  • Initial notification: August 11, 2025
  • Revision submission: August 25, 2025
  • Final notification: September 1, 2025

SECOND SUBMISSION CYCLE:

  • Abstract deadline: December 3, 2025
  • Full paper submission deadline: December 10, 2025
  • Rebuttal: January 26 - 29, 2025
  • Initial notification: February 8, 2025
  • Revision submission: February 22, 2026
  • Final notification: March 1, 2026

Open Access Policy

ACM will fully transition to Open Access effective January 1, 2026. All ACM publications will be 100% Open Access.

Temporary Subsidy for 2026:

  • ACM/SIG members: $250 APC
  • Non-members: $350 APC

This represents a 65% discount, funded directly by ACM.

Anti-Harassment Policy

SIGMOD 2026 adheres to the ACM Policy Against Harassment. Participants experiencing unacceptable behavior may contact any current member of the SIGMOD Executive Committee, the PODS Executive Committee, or DBCares.

重要日期

会议日期

Conference Date

2026年5月31日2026年6月5日

投稿

(SIGMOD Deadlines Research paper submission round 1) January 10, 2025

2025年1月10日

(SIGMOD Deadlines Research paper submission round 1) January 17, 2025

2025年1月17日

(SIGMOD Deadlines Research paper submission round 2) April 10, 2025

2025年4月10日

通知

(SIGMOD Deadlines Research paper submission round 4) January 4, 2025

2025年1月4日

(PODS Deadlines SECOND SUBMISSION CYCLE) Initial notification

2025年2月8日

(SIGMOD Deadlines Research paper submission round 1) April 4, 2025

2025年4月4日

终稿

(SIGMOD Deadlines Research paper submission round 1) May 23, 2025

2025年5月23日

(SIGMOD Deadlines Research paper submission round 2) August 23, 2025

2025年8月23日

(PODS Deadlines FIRST SUBMISSION CYCLE) Final notification

2025年9月1日

其他日期

(PODS Deadlines SECOND SUBMISSION CYCLE) Rebuttal

2025年1月26日2025年1月29日

(SIGMOD Deadlines Research paper submission round 1) March 1-8, 2025

2025年3月1日2025年3月8日

(SIGMOD Deadlines Research paper submission round 1) March 9-15, 2025

2025年3月9日2025年3月15日

来源排名

来源: CORE2023

排名: A*

研究领域: Data management and data science

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