PODS: Symposium on Principles of Database Systems

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2023 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
PODS 2022 ACM Symposium on Principles of Database Systems - Call for Papers - First Submission Cycle
Jun 15, 2022 - Jun 18, 2022 pHILADELPHI Jun 18, 2021 (Jun 11, 2021)
PODS 2021 Symposium on Principles of Database Systems
Jun 20, 2021 - Jun 25, 2021 Xi'an, China Dec 20, 2020 (Dec 13, 2020)
PODS 2020 The Symposium on Principles of Database Systems (PODS): Abstract Deadline in 1 Week
Jun 14, 2020 - Jun 19, 2020 Portland, Oregon, USA Dec 22, 2019 (Dec 15, 2019)
PODS 2019 Symposium on Principles of Database Systems
Jun 30, 2019 - Jul 5, 2019 Amsterdam Jun 22, 2018 (Jun 15, 2018)
PODS 2018 PODS 2018 - Principles Of Database Systems
Jun 11, 2018 - Jun 13, 2018 Houston, Texas, USA TBD
PODS 2017 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems
May 14, 2017 - May 19, 2017 Raleigh, North Carolina, USA Dec 18, 2016 (Dec 11, 2016)
PODS 2014 33rd ACM SIGMOD-SIGACT-SIGART Symposium on Principles Of Database Systems
Jun 23, 2014 - Jun 25, 2014 Snowbird, Utah, USA Dec 2, 2013 (Nov 25, 2013)
PODS 2013 32nd ACM SIGMOD-SIGACT-SIGART Symposium on Principles Of Database Systems
Jun 24, 2013 - Jun 26, 2013 New York, New York, USA Nov 28, 2012
PODS 2012 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems
May 21, 2012 - May 23, 2012 Scottsdale, Arizona, USA Nov 27, 2011 (Nov 20, 2011)
PODS 2011 30th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems
Jun 13, 2011 - Jun 15, 2011 Athens, Greece Dec 14, 2010 (Dec 7, 2010)
PODS 2009 ACM Symposium on Principles of Database Systems
Jun 29, 2009 - Jul 2, 2009 Providence, Rhode Island, USA Dec 8, 2008 (Dec 1, 2008)
PODS 2008 ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems
Jun 9, 2008 - Jun 12, 2008 Vancouver, Canada Nov 28, 2007
 
 

Present CFP : 2022

We invite submissions for the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, PODS, which is planned to take place in Philadelphia, USA, during June 2022. For over 40 years, PODS has been the leading conference in the theoretical aspects of data management, bringing together different communities such as logic and languages, knowledge representation, data mining, algorithms, web science, and privacy, with the aim of advancing the fundamentals of the tools we use to store, integrate, query, and analyze data in different contexts.

**ABOUT PODS**

**PODS Mission.** The PODS community aims to provide a solid scientific basis for methods, techniques and solutions for the data management problems that continually arise in our data-driven society. Our goal is to develop solutions that ensure a high level of efficiency, scalability, expressiveness, robustness, flexibility, security, and privacy, among others.

The PODS community has a pivotal position in computer science research. It develops new ways of advancing data management that reflect the rich landscape of today’s data driven applications. PODS thus welcomes contributions that help to expand the breadth and the depth of the data management toolbox. The PODS community is an open space in which researchers from various areas related to the principles of computer science can discuss, interact, and propose solutions to pressing data management problems.

**Scope.** PODS seeks scientific articles that present principled contributions to modeling, application, system building, and both theoretical and experimental validation in the context of data management. Such articles might be based, among others, on establishing theoretical results, developing new concepts and frameworks that deserve further exploration, providing experimental work that sheds light on the scientific foundations of the discipline, or a rigorous analysis of both widely used and recently developed industry artifacts.

At a time when computer science is increasingly data centric, it is essential to promote an active exchange of tools and techniques between PODS and other communities focused on data management. PODS thus pays special attention to those papers that help in the urgent process of integrating data management techniques within broader computer science.

**Topics of interest.** Topics that fit the interests of the symposium include, but are not limited to:
- Database design: Data models, query languages, schemas, constraints
- Database access: Data structures, access methods, concurrency, transactions
- Data quality: Data cleaning, data discovery, data exploration
- Database processing: Query evaluation, query optimization, schema management, distributed data processing, approximate data processing
- 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
- Dynamics of data: workflows, data-centric process management, web services, data provenance, incremental query evaluation

**SUBMISSIONS**

**Submission site.** https://easychair.org/conferences/?conf=pods2022

**Submission format.** Submitted papers must be formatted using the standard ACM proceedings stylesheet (https://www.acm.org/publications/proceedings-template). They can be up to 8 pages, not including references, plus unlimited space for references. Additional details may be included in an appendix that should be incorporated at submission time (online appendices are not allowed). However, such appendices will be read at the discretion of the program committee.

Papers that are longer than 8 pages (without considering references) or do not cohere with the ACM proceedings style risk rejection without consideration of their merits. The results of a submitted paper must be unpublished and not submitted elsewhere, including the formal proceedings of other symposia or workshops. Authors of an accepted paper will be expected to sign copyright release forms, and one author is expected to present it at the conference.

For the first time PODS will apply a double-blind reviewing process. This implies that submitted papers must adhere to the double-blind reviewing policy described below and, in addition, authors must provide a list of potential conflicts of interest at the moment of submission.

**Double-blind reviewing.** PODS 2022 will use a lightweight double-blind reviewing process. This means that submissions must adhere to the following:
- 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.

However, authors should feel free to disseminate their ideas or draft versions of their paper as they normally would. For instance, authors may post drafts of their papers on the web or give talks on their research ideas.

**Submission dates.** PODS 2022 will have two submission cycles, the first one providing the possibility of a revision.

**FIRST SUBMISSION CYCLE**

First cycle abstract deadline: June 11, 2021
Full paper submission deadline: June 18, 2021
Reviews sent to authors: July 31st, 2021
Rebuttal phase: August 1 - 5, 2021
Notification: August 13, 2021

**SECOND SUBMISSION CYCLE**

Second cycle abstract deadline: December 10, 2021
Full paper submission deadline: December 17, 2021
Notification: February 28th, 2022

**PROGRAM COMMITTEE**

Program Committee Chair:
- Pablo Barceló (Catholic University, Chile)

Program Committee Members:
- Hubert Chan (University of Hong Kong)
- Marco Console (Sapienza, University of Rome)
- Wojciech Czerwiński (University of Warsaw)
- Cristina Feier (University of Bremen)
- Floris Geerts (University of Antwerp)
- Ismail Ilkan Ceylan (University of Oxford)
- Aidan Hogan (University of Chile)
- Xi He (University of Waterloo)
- Xiao Hu (Duke University)
- Rayesh Jayaram (Carnegie Mellon University/Google Research)
- Batya Kenig (Technion, Israel Institute of Technology)
- Roman Kontchakov (Birkbeck, University of London)
- Paolo Guagliardo (University of Edinburgh)
- Ester Livshits (University of Edinburgh)
- Stefan Mengel (CNRS, CRIL)
- Mikael Monet (INRIA, CRIStAL)
- Miguel Romero (Adolfo Ibáñez University)
- Atri Rudra (University at Buffalo)
- Babak Salimi (University of California, San Diego)
- Thomas Schwentick (Technical University of Dortmund)
- Yufei Tao (Chinese University of Hong Kong)
- Ali Vakilian (Toyota Technological Institute, Chicago)
- Victor Vianu (University of California, San Diego)
- Thomas Zeume (Ruhr University Bochum)
 

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