[DMANET] PODS 2022 : ACM Symposium on Principles of Database Systems - Call for Papers - First Submission Cycle

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 Barcelo (Catholic University, Chile)

Program Committee Members:
- Hubert Chan (University of Hong Kong)
- Marco Console (Sapienza, University of Rome)
- Wojciech Czerwinski (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 Ibanez 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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