[DL] PODS 2023 CALL FOR RESEARCH PAPERS

[Maximilian Schleich]

PODS 2023 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 (see https://databasetheory.org/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 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

Program committee

Meghyn Bienvenu (CNRS, University of Bordeaux)
Nofar Carmeli (École Normale Supérieure (ENS), Paris)
Hubie Chen (University of London)
Marco Console (Sapienza University of Rome)
Xiao Hu (Duke University)
Bas Ketsman (Vrije Universiteit Brussel)
Benny Kimelfeld (Technion - Israel Institute of Technology)
Phokion Kolaitis (UC Santa Cruz and IBM Research - Almaden)
Paris Koutris (University of Wisconsin-Madison)
Andrew McGregor (University of Massachusetts, Amherst)
Stefan Mengel (CNRS, CRIL)
Hung Ngo (Relational AI, Inc., PC Chair)
Dan Olteanu (University of Zurich)
Reinhard Pichler (Vienna University of Technology)
Andreas Pieris (The University of Edinburgh)
Miao Qiao (The University of Auckland)
Cristian Riveros (Pontificia Universidad Católica de Chile)
Miguel Romero Orth (Universidad Adolfo Ibáñez)
Atri Rudra (University at Buffalo, SUNY)
Domagoj Vrgoc (Pontificia Universidad Católica de Chile)
Jef Wijsen (University of Mons)
David Woodruff (Carnegie Mellon University)
Qin Zhang (Indiana University Bloomington)

Proceedings Chair

Stavros Sintos (University of Chicago)

Publicity Chair

Maximilian Schleich (RelationalAI Inc.)

Submission Site

https://easychair.org/conferences/?conf=pods2023

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 2023 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.

Merit-based acceptance

Paper selection will be merit-based, with no a priori limit on the number of
accepted papers.

Important Dates

FIRST SUBMISSION CYCLE:

First cycle abstract deadline: May 30, 2022
Full paper submission deadline: June 06, 2022
Reviews sent to authors: Aug 19, 2022
Rebuttal phase: August 22 - 26, 2022
Notification: Sep 05, 2022

SECOND SUBMISSION CYCLE:

Second cycle abstract deadline: Nov 28, 2022
Full paper submission deadline: December 05, 2022
Reviews sent to authors: February 24, 2023
Rebuttal phase: Feb 27 - Mar 03, 2023
Notification: Mar 13, 2023

All deadlines end at 5 PM Pacific Time.