The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), the flagship European machine learning and data science conference (7-11 September 2026), invites submissions to the Nectar Track.

The goal of the Nectar Track is to provide conference attendees with a concise overview of recent scientific advances at the forefront of machine learning and data mining, as well as their applications in other disciplines, as already published in related conferences and journals. Researchers from other disciplines can benefit from the Nectar Track to present their work to the ECML-PKDD community. This is also the opportunity to raise the community’s awareness of AI and data science results and open problems in their field.

We invite researchers to submit summaries of their own work published in various fields, including but not limited to: artificial intelligence, generative AI, big data analytics, bioinformatics, cyber security, games, computational linguistics, natural language processing, information retrieval, computer vision and image analysis, geoinformatics, health informatics, database theory, human-computer interaction, information and knowledge management, robotics, pattern recognition, statistics, social network analysis, theoretical computer science, uncertainty in AI, network science, complex systems science, and computationally oriented sociology, economy and biology, ethics, bias and fairness, as well as critical data science/studies.

Acceptance criteria will also take into account the publication date (cutoff date—up to 18 months old) and the quality of the conference venue or journal.

Authors should adhere to ethics guidelines stated HERE .