The DASFAA 2024 Workshop on Emerging Results in Data Science and Engineering (ERDSE 2024)

Various systems and services, including generative AI, built on massive amounts of data, are revolutionizing our society. For their development, not only technologies related to data science, such as machine learning, but also data engineering techniques for efficiently managing large amounts of data are essential. In order for them to be accepted by society, various aspects of data management, such as privacy, security, and fairness, must also be taken into consideration. This workshop aims to provide an opportunity for presentations and discussions, especially for young researchers and students, in the area of the convergence of data science and data engineering, where many new research topics and results are emerging.

The topics of the workshop include, but are not limited to:

Paper Categories

Paper Format

Paper submission must be in English. There is no need for authors to mask their names and affiliations in the manuscript. Submissions must be original (not previously published and not under review in other forums). Please use one of the following templates for the LNCS (Lecture Notes in Computer Science) format:


The papers accepted and presented at the DASFAA workshops will be published as post-proceedings in a volume of Springer's Lecture Notes in Computer Science (LNCS) series.

Submission Link

Note: Please choose the TRACK "[Workshop] Emerging Results In Data Science And Engineering (ERDSE 2024)". Please prefix your submission category [Research Paper] or [Work-in-Progress Paper] to the Title of Paper field in the submission page. For example, for a paper with title "Using LLMs for Fake News Detection",

Important Dates


Program Committee