Call for Demo
IEEE Big Data 2026 Call for Demo
2026 IEEE International Conference on Big Data (IEEE BigData 2026) - Dec 14-17, 2026, Phoenix, AZ, USA (https://bigdataieee.org/BigData2026)
The Program Committees of the IEEE BigData 2026 invite submissions for the Demo Track. This track serves as a forum for researchers and practitioners to demonstrate their pioneering, real-world systems. It also allows attendees to explore the latest technological advancements through hands-on, interactive sessions. Demos must feature fully implemented and tested systems.
Submissions are expected to be aligned with relevant topics of IEEE BigData2026 (https://bigdataieee.org/BigData2026/calls/papers/).
Important Dates
- Electronic submission of full papers: Aug. 21, 2026
- Notification of paper acceptance: Oct. 24, 2026
- Camera-ready of accepted papers: Nov. 14, 2026
- Conference: Dec 14-17, 2026
All submission deadlines are end-of-day in the Anywhere on Earth (AoE) time zone.
Submission Guidelines
Submissions should be in IEEE 2-column format, up to 4 (four) pages in length, including references. Authors are highly encouraged to include links to external material related to the demo (e.g., code repository, demo video, or web system) within the submission.
Please follow IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to "formatting instructions" below). https://www.ieee.org/conferences/publishing/templates.html
Submission Site: Submissions should be made through the online submission system. https://wi-lab.com/cyberchair/2026/bigdata26/index.php
Authorship: Submissions are not anonymous. Authors should list their names and affiliations.
Publication: All accepted demo papers will be published in the IEEE BigData 2026 proceedings. In addition, a short pre-recorded video is required for each demo, which will be included in the IEEE Xplore alongside the PDF. More detailed instructions for uploading demo videos will be provided to accepted demo paper authors together with camera ready instructions.
Demo Co-Chairs
- Lu Zhang (University of Arkansas)
- Emre Eftelioglu (Amazon)
- Kaiyi Ji (University at Buffalo)