VLDB 2025: Call for Contributions – Demonstrations

VLDB 2025 invites submissions for software demonstration proposals on any topic of interest, broadly defined, to the data management community. Software demonstrations are accompanied by short papers which will appear in the PVLDB proceedings upon acceptance. One of the demonstrations presented at the conference will be selected to receive the VLDB 2025 Best Demo Award.

Important Dates

All deadlines below are 5 PM Pacific Time. The submission deadline will not be extended.

Demo Proposals

The proposal must describe the demonstrated system, and state the novelty and significance of the contribution to data management research, technologies, and/or its applications. The proposal should pay special attention to describing the exact demonstration scenarios for the given system. This should include how the audience will experience the demo, architecture of the proposed system, what kind of functionality is supported, user scenarios, interface and interaction options, etc. Proposals with high degree of audience interaction that can engage the audience will be preferred. Proposals must be submitted in camera-ready format and limited to 4 pages, inclusive of ALL material. Formatting guidelines and document templates are available at http://vldb.org/pvldb/volumes/18/formatting/. Submissions are single-anonymous and must contain author names and affiliations. Proposals will be reviewed by at least 3 reviewers and the review process will be managed by an Associate Editor.

Video Submissions

We encourage the submission of a demonstration video (of up to 5 minutes, 50MB max. file size) together with your demonstration proposal via CMT. Both the demonstration proposal and the video will then be accessible by the reviewers. Your video should summarize your demonstration and also audio-visually highlight its most important aspects, such as the user interface, options for user interactions, the system setup, etc. The video should be submitted in MPEG/AVI/MP4 format and be playable by the common media players. Please note that you will need to first finish your demo proposal submission and then edit it to add the video as a supplementary file.

Conflicts and Authorship

To minimize biases in the evaluation process, we use CMT's conflict management system, through which authors should flag conflicts with members of the Editorial Board.

Conflict Declaration on CMT: Each author is responsible for entering their own domain and individual PC conflicts on CMT. All authors of a paper (listed in the pdf) must register themselves in CMT and declare their individual domain and PC conflicts at the time of submission. It is the full responsibility of all authors of a paper to identify and declare all CoIs with members of the Editorial Board (Reviewers, Associate Editors, and Demo Chairs) prior to the submission deadline. Conflicts of interest will also be checked using an automated CoI detection tool. Submissions with undeclared conflicts or spurious conflicts will be desk-rejected.

After a paper is accepted, the set of authors cannot be changed.

You can mark your domain and individual PC conflicts by clicking on your name (upper right-hand side on CMT) and selecting “Personal Conflicts”. An author’s declared conflicts will be automatically applied to all of their submissions.

X and Y have a conflict of interest (CoI) if any of the following applies:

Demo Submission

Demonstration proposals must be submitted electronically, in PDF format, using CMT. When creating a new paper submission, you will be given the option to choose a track. Choose the "Demo" track for your demo proposal. Once you have submitted your paper, you can add your video submission file in a second step. You will find the VLDB 2025 CMT submission site at https://cmt3.research.microsoft.com/PVLDBv18_2025/

Demo Track Chairs

Sourav S Bhowmick, NTU, Singapore
Philippe Bonnet, University of Copenhagen, Denmark

Associate Editors (Meta Reviewers)

Aditya Parameswaran, University of California, Berkeley
Bjorn Jonsson, Reykjavik University
Byron Choi, Hong Kong Baptist University
Curtis Dyreson, Utah State University
Danica Porobic, Oracle
Felix Naumann, Hasso Plattner Institute, University of Potsdam
George Fletcher, Eindhoven University of Technology the Netherlands
Jana Giceva, TU Munich
Melanie Herschel, Nanyang Technological University
Nan Tang, HKUST (GZ)
Sebastian Link, University of Auckland
Stefanie Scherzinger, University of Passau
Steffen Zeuch, TU Berlin
Tianzheng Wang, Simon Fraser University

Program Committee

Ali Hadian, Imperial College London
Andra-Denis Ionescu, TU Delft
Anna Fariha, University of Utah
Arash Termehchy, Oregon State University
Bo Tang , Southern University of Science and Technology
Boris Glavic, University of Illinois Chicago
Carlo Sartiani, Università della Basilicata
Chuan Xiao, Osaka University, Nagoya University
Dong Deng, Rutgers University
Fabian Panse, University of Augsburg
Guozhong Li, King Abdullah University of Science & Technology
Gylfi Guðmundsson, Reykjavik University
Hazar Harmouch, University of Amsterdam
Hui Li, Xidian University
Ibrahim Sabek, University of Southern California
Irena Holubova, Charles University
Jan Hidders, Birkbeck, University of London
Jiaxin Jiang, National University of Singapore
Jiwon Seo, Seoul National University
John Paparrizos, The Ohio State University
Kostas Stefanidis, Tampere University
Kyoungmin Kim, EPFL
Larissa Capobianco Shimomura, University of Stuttgart
Leong Hou U, University of Macau
Lorena Etcheverry, Instituto de Computación, Facultad de Ingeniería, Universidad de la República
Lucas Braun, Oracle Labs
Madelon Hulsebos, CWI
Madhulika Mohanty, Inria Saclay
Manisha Luthra, TU Darmstadt
Marios Fragkoulis, TU Delft
Martin Hentschel, IT University of Copenhagen
Michael Mior, Rochester Institute of Technology
Nikos Bikakis, Athena
Odysseas Papapetrou, TU Eindhoven
Oscar Romero, Universitat Politècnica de Catalunya
Petra Selmer, Bloomberg
Raja Appuswamy, Eurecom
Renata Borovica-Gajic, University of Melbourne
Rihan Hai, TU Delft
Sajjadur Rahman, Megagon Labs
Shaleen Deep, Microsoft Gray Systems Lab
Stefania Dumbrava, ENSIIE
Supun Nakandala, Databricks
Tarique Siddiqui, Microsoft Research
Tobias Ziegler, Technische Universität München
Toshiyuki AMAGASA, University of Tsukuba
Uta Störl, University of Hagen
Verena Kantere, University of Ottawa
Viktor Sanca, EPFL
Vivek Shah, Samsung
Yongluan Zhou, University of Copenhagen
Zhengjie Miao, Simon Fraser University