Important Dates

Submission Due Nov 28, 2021
Dec 04, 2021
Acceptance Notification Jan 20, 2022
Camera-Ready Version Due Jan 27, 2022

*All deadlines are 23:59 Anywhere on Earth (AoE) time

Call for Demo Papers

The Demonstration Track of DASFAA-2022 provides an engaging and highly interactive way to showcase your database research. Demo submissions are solicited in all areas of database applications, practice, technology, and theory. All demo submissions need to:

  • Motivate the demonstrated concepts
  • Describe the system and the technology
  • Detail the features and scenarios that will be demonstrated
  • Pinpoint the novelty and significance of the contribution
  • Provide URL of a screencast video (up to 10 minutes), screenshots, and additional external material (e.g., shared code on GitHub)

Demo submissions will be evaluated based on the following criteria.

Demo submissions must be prepared in accordance with the given submission guidelines for the conference. Demo submissions must not exceed 4 pages, in LNCS (Lecture Notes in Computer Science) format, including references. Only electronic submissions in PDF format will be considered. Please upload your submission to the DASFAA-2022 Demo Track through the CMT submission. All submissions will be double-blind reviewed by the Program Committee based on technical quality, relevance to DASFAA, originality, significance, and clarity.

Demo submissions must not be under review for any other publishing forum or presentation venue (including conferences, workshops, and journals) during the time they are being considered for DASFAA. Furthermore, after you submit to DASFAA, you must await our response and only resubmit elsewhere if your demo is rejected (or withdrawn at your request). This restriction applies to identical submissions as well as to submissions with a substantial overlap in scientific content and results. Demo submissions will be included in the conference proceedings.

Topics of Interest

We welcome submissions on all topics in the general areas of Data science, Databases, Data-enabled Systems, Machine Learning, and Web Data management.

Demo Co-chairs