Call for Industry Papers

The Industrial & Practitioner Track of the 29th International Conference on Database Systems for Advanced Applications (DASFAA 2024) seeks submissions covering innovations in data management technologies, industrial applications, and experience in applying new technologies to real-world data problems. The goal of this track is to introduce and discuss emerging trends and challenges with practical implications, and to facilitate interactions between academia and industry in this area.

Important Dates

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

Paper submission due
January 25, 2024 ⇐ December 14, 2023
Acceptance notification
March 12, 2024 ⇐ January 31, 2024
Camera ready due
April 16, 2024 ⇐ March 1, 2024


Contributions from both industry R&D groups and academia are welcome. Topics of interest include but are not limited to:

  • Advanced analytics of database systems
  • Applications of big data management
  • Mining and machine learning applied to industrial & business data
  • Information retrieval and knowledge discovery
  • Cloud computing
  • Artificial intelligence for data management
  • Exploitation of new hardware trends
  • Security and privacy issues for database systems
  • Explainability, fairness and accountability

Paper Submission

Authors should submit papers reporting original work that are currently not under review or published elsewhere. We will accept full papers (up to 12 pages) and extended abstracts (up to 4 pages) in LNCS (Lecture Notes in Computer Science) format. Industrial track submissions must be submitted electronically, in PDF format, using the same Conference Management Tool as the research track. Please mention “Industrial Track” next to the paper title during submission in the CMT system. All papers will be single-blind reviewed. All accepted papers will be published in the conference proceedings.

Contact Information

For any problems with the submission system, please contact

Industry Co-Chairs

  • Jun Miyazaki, Tokyo Institute of Technology, Japan
  • Mukesh Mohania, Indraprastha Institute of Information Technology Delhi (IIIT-Delhi), India