VLDB 2026: Call for Contributions - Demonstrations

VLDB 2026 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. Demonstrations presented at the conference will be eligible to receive the VLDB 2026 Best Demo Award.

Important Dates

All deadlines below are AoE. 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, the architecture of the proposed system, what kind of functionality is supported, user scenarios, interface and interaction options, etc. Proposals with a 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/19/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 to 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 2026 CMT submission site at:

https://cmt3.research.microsoft.com/PVLDBv19_2026/

Demo Track Chairs

Stefania Dumbrava, ENSIIE & INRIA Paris, France
John Paparrizos, The Ohio State University, USA & Aristotle University of Thessaloniki, Greece

Associate Editors (Meta Reviewers)

Björn Þ Jónsson, Reykjavik University
Byron Choi, Hong Kong Baptist University, Hong Kong, China
Curtis Dyreson, Utah State University
Danica Porobic, Oracle
H. V. Jagadish, University of Michigan
Haridimos Kondylakis, FORTH-ICS & Computer Science Department, University of Crete
Jan Hidders, Birkbeck, University of London
K. Selçuk Candan, Arizona State University
Mohamed Mokbel, University of Minnesota - Twin Cities
Nikos Mamoulis, University of Ioannina
Pierre Senellart, ENS, PSL University
Sebastian Link, University of Auckland
Sebastian Schelter, BIFOLD & TU Berlin
Steffen Zeuch, TU Berlin
Tianzheng Wang, Simon Fraser University
Vagelis Hristidis, UC Riverside
Vassilis J. Tsotras, UC Riverside
Walid G Aref, Purdue
Wolfgang Gatterbauer, Northeastern University

Program Committee (Reviewers)

Ahmed Eldawy, University of California, Riverside
Anastasios Gounaris, Aristotle University of Thessaloniki
Andra Ionescu, KTH Royal Institute of Technology
Arash Termehchy, Oregon State University
Bo Tang, Southern University of Science and Technology
Bo Zhao, Aalto University
Carlo Sartiani, Universita della Basilica
Chao Zhang, University of Waterloo
Chuan Xiao, Nagoya University
Chunwei Liu, MIT CSAIL
Dimitris Tsitsigkos, Archimedes, Athena Research Center
El Kindi Rezig, University of Utah
Enzo Veltri, Università della Basilicata
Fabian Panse, University of Augsburg
Garima Gaur, Inria Saclay, Ecole Polytechnique
George Papastefanatos, ATHENA Research Center
Georgia Troullinou, CNRS
Georgios Siachamis, Inria
Guozhong Li, King Abdullah University of Science & Technology
Hangdong Zhao, Microsoft
Hiroaki Shiokawa, University of Tsukuba
Ibrahim Sabek, University of Southern California
Irena Holubova, Charles University
Jens d'Hondt, Barcelona supercomputing center
Jia Zou, Arizona State University
Jiaxin Jiang, National University of Singapore
Junghoon Kim, UNIST
Kostas Stefanidis, Tampere University
Kyoungmin Kim, EPFL
Larissa Capobianco Shimomura, Hasselt University
Lihong He, IBM Research
Lisi Chen, UESTC
Loredana Caruccio, University of Salerno
Martin Boissier, Hasso Plattner Institute, University of Potsdam
Mayuresh Kunjir, Amazon AWS
Niccolo Meneghetti, University of Michigan - Dearborn
Nikolay Yakovets, TU Eindhoven
Nikos Bikakis, Hellenic Mediterranean University & ATHENA Research Center
Panagiotis Liakos, Athens University of Economics and Business
Paul Boniol, Inria, Ecole normale supérieure
Petra Selmer, Bloomberg
Philipp Skavantzos, The University of Auckland
Qitong Wang, Harvard University
Ramon Lawrence, University of British Columbia
Rihan Hai, TU Delft
Sajjadur Rahman, Adobe
Stefano Cirillo, University of Salerno
Subhadeep Sarkar, Brandeis University
Tarikul Islam Papon, UMass Boston
Toshiyuki AMAGASA, University of Tsukuba
Uta Störl, University of Hagen
Verena Kantere, University of Ottawa
Vikram Goyal, IIIT Delhi, India
Vivek Shah, Samsung
Wentao Wu, Microsoft Research
Yannis Foufoulas, Athena Research Center
Yanwei Yu, Ocean University of China
Yaron Kanza, AT&T Labs-Research
Yingxia Shao, BUPT
Yiru Chen, Columbia University
Yongjoo Park, University of Illinois at Urbana-Champaign
Yuval Moskovitch, Ben Gurion University
Yuxi Wang, Hangzhou Dianzi University
Zafeiria Moumoulidou, University of Massachusetts Amherst
Zhengjie Miao, Simon Fraser University
Zhichao Cao, Arizona State University
Zhidan Liu, Hong Kong University of Science and Technology (Guangzhou)
Zhiqiang Zhong, Aarhus UNiversity