Key Dates and Deadlines

The ECML PKDD PhD Forum spans various topics of data mining, machine learning, and work in related fields such as databases, artificial intelligence, statistics, information retrieval, multimedia, and the Web. Topics in specific domains, such as bioinformatics and the more general science informatics are also encouraged. Participants with interdisciplinary work across the areas are particularly welcome.

The submission requires a title, an author (authors) and an extended abstract (up to 2000 characters), briefly describing the work. The abstract can be either on a single paper (possibly but not necessarily accepted at the main conference) or on the whole doctoral dissertation, including planned work.

The purpose is to obtain feedback regarding future plans and technical feedback on the research topic and writing. Note:

• For abstracts, the main criteria for acceptance are 1) that the submission is clearly structured and written in the English language and 2) that it is of sufficient maturity to enable the audience of the PhD Forum to provide constructive feedback.
• Extended abstracts will not be formally published. However, unless the authors opt out, they will be made publicly available through the conference website.
• First authors must be PhD students who are in 1-3 years into their PhD. Co-authors may include the research advisors, committee members, and other collaborators as needed.
• In case of acceptance, the work related to the abstract will be presented as a poster at the PhD student forum. Also, for the few researches, based on reviewers’ recommendations, will be given the opportunity to provide a short presentation (up to 10 min) followed by a Q&A.
• We will ask each PhD student to participate in the review process.
• In-person attendance is required for the PhD forum, i.e., no remote attendance is possible. Accepted abstracts whose authors cannot attend in person will be removed from the final list.

The papers must be written in English and formatted according to the Springer LNAI guidelines. For accepted ECMLPKDD papers, you may simply submit the accepted PDF.

Author instructions and style files can be downloaded here.

Submission link

The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) includes a PhD student forum on machine learning and knowledge discovery.

The purpose of this forum is to provide an environment for PhD students, at any stage of their doctoral studies, to present their work and get constructive feedback from senior researchers in machine learning, knowledge discovery, and related areas.

The discussions at the PhD Forum will focus on the work in progress of junior PhD students with 1-3 years of research experience towards their dissertation.

During the forum, researchers with experience in supervising and examining doctoral students will participate and provide constructive feedback and advice to the participants. It is an excellent opportunity for developing person-to-person networks to benefit PhD students in their future careers.