Call for Contributions to the Doctoral Consortium

PhD students working in the area of Process Mining are invited to submit their proposals for participation in a Doctoral Consortium, which will be held on Sunday, October 31, 2021, in conjunction with the 3rd International Conference on Process Mining (ICPM 2021) in Eindhoven, Netherlands.

The Doctoral Consortium has the following objectives:

  • to provide valuable feedback on students’ research topics, directions, methods and plans;
  • to help students pitch their research ideas to peers in the research community;
  • to promote the development of a community of scholars that will help students in their future careers;
  • to introduce new scholars to the process mining research community and provide opportunities to meet and interact with experienced researchers.

The PhD candidates of the accepted proposals are expected to present their PhD project at the Doctoral Consortium.

We welcome submissions representing a broad spectrum of research topics related to Process Mining. Participants will benefit from the advice of senior researchers in the field and from the interaction with peers being at a similar stage of their careers. Also, they will receive valuable feedback on how to shape their thesis from experts in the area, which could be useful to participate in the Best Process Mining Dissertation Award at ICPM at the end of their Ph.D. programme.


PhD students interested in engaging in detailed discussions on their research at the Doctoral Consortium are invited to submit an extended abstract, which describes their thesis work and, in particular, elaborates on the following discussion points:

  • The main research question guiding the envisaged research;
  • The motivation of the research questions (what is new about the research question and why is this important to be investigated?);
  • The initial ideas on the solution being proposed and its validity;
  • The planned research methodology and possible techniques being applied, with specific attention on how the results are going to be validated;
  • The relation of the work to the state of the art, especially (but not only) in process mining research.

The points above will be considered by the jury to evaluate the contribution (see “Review process” below for further details).

The extended abstract should be discussed with the respective PhD supervisor before submission. The manuscript must be written in English and prepared using the latest IEEE Computational Intelligence Society conference proceedings guidelines (8.5″ × 11″ two-column format). Templates are available for Latex and Word. The manuscript should not exceed the length of 2 pages. 

The manuscript should be submitted (as a single PDF file) by midnight (Anywhere on Earth, AoE) by September 3, 2021 via the ICPM 2021 submission website on EasyChair (select the “Doctoral Consortium” track). The accepted manuscripts will be published on a volume of CEUR-ws proceedings.

Review process

Submitted proposals will be reviewed by the Doctoral Consortium Committee. The review of the reported research work in each proposal will take into account its originality, its potential for advancing the process mining field, and whether the work is at a stage where the PhD candidate can benefit from participating in the consortium. Also, the presence, clarity and depth of the aforementioned discussion points will determine the judgment of the reviewers. 

Experimental results for the proposed research are not required. However, a concrete plan for the PhD project is a must. Rejected submissions will receive written feedback. Confidentiality of submissions will be maintained throughout the review process.


Authors will be notified of the result of their submission by October 8, 2021. Accepted doctoral candidates will receive instructions on how to submit a camera-ready copy of their proposal and will receive information on the preparation of the presentation (see “At the conference” next).

Acceptance to the Doctoral Consortium is an honour. In turn, accepted candidates are expected to fully commit themselves to the success of the consortium by being open to new ideas and suggestions and providing ideas and suggestions to other participants. All accepted contributions will be circulated among the participants about one week before the consortium.

At the conference

The format of the Doctoral Consortium is highly interactive, to the extent that presentations may be subject to changes on the day of the event: students will receive advice on how to better shape their work, and consequently, on how to efficiently revisit the presentations. Students will present their work to the group with substantial time provided for discussions and questions by participating researchers and other students. Presentations should take not more than 20 minutes. The remaining time will be filled with discussions. 

The venue is open to all participants, including other PhD students than the ones that present their work and their supervisors. The students who present their work are expected to attend every session of the consortium. Attendance is free of charge, and the Doctoral Consortium papers do not come with a publication fee. 

The jury will select the best contribution. The winner will hold a 2-minutes pitch during the main conference.

Key Dates

Extended abstract submissionSeptember 3, 2021
Notification of acceptanceOctober 8, 2021
Camera-ready copyOctober 15, 2021
ConsortiumOctober 31, 2021


Doctoral Consortium Chairs

Fabrizio Maria Maggi
Free University of Bozen-Bolzano
Mieke Jans
Hasselt University

Doctoral Consortium Jury

  • Rafael Accorsi, PwC, Switzerland
  • Josep Carmona, Universitat Politècnica de Catalunya, Spain
  • Felix Mannhardt, Technical University of Eindhoven, Netherlands
  • Jan Mendling, Humboldt University Berlin, Germany
  • Marlon Dumas, Tartu University, Estonia
  • Wil M.P. van der Aalst, RTWH Aachen, Germany
  • Benoît Depaire, Hasselt University, Belgium
  • Henrik Leopold, Kühne Logistics University, Germany
  • Mathias Weidlich, Humboldt University Berlin, Germany
  • Jan Martijn van der Werf, Utrecht University, The Netherlands