PODS 2022 - Call for Papers

Submitted by Pablo Barcelo on Tue, 04/13/2021 - 20:49

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.


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


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

Submission format. Submitted papers must be formatted using the standard ACM "sigconf" 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 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 cycle abstract deadline: December 10, 2021

Full paper submission deadline: December 17, 2021

Notification: February 28th, 2022


 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)