The Demonstrations Track of ICDE 2024 invites exciting and highly interactive demonstrations on data engineering research. We solicit demo proposals in all areas of data and knowledge engineering, including but not limited to, database systems, data management and processing techniques, and data-intensive applications. We also encourage submissions from related areas such as DB + X, where X is ML/AI, health, education, visualization, systems, privacy, etc. All demonstration submissions must:

• Provide the motivation behind the demonstrated concept(s).
• Describe the system and the technology.
• Explain what features and scenarios will be demonstrated, and
• State the novelty and significance of the contribution.

• Demonstrations will be presented at the ICDE 2024 conference and the accompanying manuscripts will be published in the ICDE 2024 proceedings.
• We encourage submissions to include a demonstration video and to creatively use the system on different scenarios, datasets and use cases
• Accompanying paper format is 4 pages, including references.

We highly encourage the submission of a demonstration video (of up to 5 minutes, 50MB max. file size) together with your demonstration proposal. The purpose of the video is to convey an impression of what will be demonstrated and does not need not show the final, polished version. Both the demonstration proposal and the video will then be accessible by the reviewers. Your video could 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.

• Demo submission due: October 23, 2023 (Monday)
• Notification of acceptance: December 9, 2023 (Saturday)
• Camera-ready copy due: February 9, 2024 (Friday)
• All deadlines are 11:59PM Anywhere on Earth (AoE).

Demonstration proposals will be selected based on several criteria, including (i) relevance, (ii) novelty, (iii) depth, and (iv) the “wow” factor of the proposed demonstration. The proposal must clearly describe the functionality that will be demonstrated, and how the audience will be able to interact with the proposed system.

Manuscripts must be prepared in accordance with the IEEE format (https://www.ieee.org/conferences_events/conferences/publishing/templates.html). The length of demo papers is 4 pages, including references. Only electronic submissions in PDF format will be considered. Please upload your submission to the ICDE 2024 Demos Track through the CMT submission site prior to the deadline.
https://cmt3.research.microsoft.com/ICDE2024Demos
Please refer to the COI and Diversity and Inclusion in writing instructions as detailed in:
https://icde2024.github.io/CFP_research.html

• Asterios Katsifodimos, TU Delft, Netherlands
• Angela Bonifati, Lyon 1 University, France
• Wookey Lee, INHA University, South Korea

• Aditya Parameswaran, University of California, Berkeley
• Ahmed Eldawy, University of California, Riverside
• Andrea Mauri, Université Claude Bernard Lyon 1
• Anna Fariha, University of Utah
• Bo Zhao, Aalto University
• Chaokun Wang, Tsinghua University
• Christos Koutras, TU Delft
• Chuan Lei, Amazon Web Services
• Danica Porobic, Oracle
• Dimitrios Skoutas, Athena Research Center
• Donato Tiano, Università degli Studi di Modena e Reggio Emilia
• Eleni Tzirita Zacharatou, IT University of Copenhagen
• Fatemeh Nargesian, University of Rochester
• George Christodoulou, University of Ioannina
• Gerardo Vitagliano, Hasso Plattner Institute
• Haralampos Gavriilidis, Technische Universität Berlin
• Hazar Harmouch, Hasso Plattner Institute
• Hyuk-Yoon Kwon, Seoul National University of Science and Technology
• Jesús Camacho-Rodríguez, Microsoft
• Kyoung-Sook Kim, National Institute of Advanced Industrial Science and Technology
• Loredana Caruccio, University of Salerno
• Madhulika Mohanty, Inria Saclay
• Makoto Onizuka, Osaka University
• Marios Fragkoulis, Delivery Hero
• Mohammad Javad Amiri, University of Pennsylvania
• Paris Carbone, KTH Royal Institute of Technology
• Paul Groth, University of Amsterdam
• Rana Alotaibi, Microsoft Gray Systems Lab
• Roee Shraga, Northeastern University
• Sang-Wook Kim, Hanyang University
• Sebastian Schelter, University of Amsterdam
• Stefania Dumbrava, ENSIIE
• Toshiyuki AMAGASA, University of Tsukuba
• Vasiliki Kalavri, Boston University
• Vikram Goyal, IIIT Delhi
• Xiaofang Zhou, The Hong Kong University of Science and Technology
• Yongluan Zhou, University of Copenhagen
• Yukiko Kawai, Kyoto Sankyo University