The Research and the Applied Data Science Tracks at ECML-PKDD 2021 are doing a joint Call for Papers, described below.

In the Research Track, we invite submissions of research papers from all areas of knowledge discovery, data mining and machine learning. We look for high-quality papers in terms of novelty, technical quality, potential impact, and clarity of presentation. Papers should demonstrate that they provide a significant contribution to the field (e.g., improve the state-of-the-art or provide a new theoretical insight).

In the Applied Data Science Track, we invite papers that present innovative applications of knowledge discovery, data mining and machine learning to solve challenging and important real-world use cases, thereby bridging the gap between practice and current theory. Papers should clearly explain the real world challenge that is being addressed (including any peculiarities of the data, such as the size of the data set, noise levels, sampling rates, etc), the methodology that is being used, and the conclusions and implications that are drawn for the use case.
Key dates and Deadlines:

Abstract submission deadline: March 26th 2021
Paper Submission Deadline: April 2nd, 2021
Author notification: June 18th, 2021
All deadlines expire on 23:59 AoE (UTC - 12)
Conference: 13-17 September 2021