Doctoral Consortium – Call for Proposals

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 Friday, October 18, 2024, in conjunction with the 6th International Conference on Process Mining (ICPM 2024) in Copenhagen, Denmark.

Objectives & Target Audience

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. During the event, there will be interactive sessions to discuss diverse aspects of the presented project with experts in the field.

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 interaction with peers at a similar stage of their careers. Also, they will receive valuable feedback on how to shape their thesis from experts in the area.

Submission

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 elaborates on the following discussion points in particular:

  • 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 2 pages.

The manuscript should be submitted as a single PDF file via the ICPM 2024 submission website on EasyChair (see https://easychair.org/conferences/?conf=icpm2024) by selecting the “Doctoral Consortium” track.  Proceedings will be submitted to CEUR-WS.org for online publication.

Review Process

Submitted proposals will be reviewed by the Doctoral Consortium Committee. The review of the reported research work in each proposal will consider 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.

Notification

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).

Authors of accepted proposals to the Doctoral Consortium are expected to fully commit themselves to the success of the consortium by being open to new ideas and suggestions as well as to provide ideas and suggestions to other participants. All accepted contributions will be circulated among the participants about one week before the consortium.

We strongly recommend PhD candidates of accepted proposals to attend the entire conference and will set up additional activities during this time for them (see below).

At the Conference

Tuesday (Oct. 15): On the Tuesday of ICPM, we will set up an informal gathering of Doctoral Consortium participants and jury members to get to know each other early on.

During the main conference (Oct. 15 to 17): We will give participants a task to be performed during the days of the main conference to gather feedback from other attendees, such as other researchers or industry participants.

Doctoral Consortium (Oct. 18): The format of the Doctoral Consortium will be 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 shape their work better and, consequently, on how to position their research. Students will give a short pitch of their topic to the group. The exact format will follow later, but will be centered roundtable discussions with senior researchers and other participants.

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. 

Important Dates

  • Submission deadline: August 9, 2024
  • Notification of acceptance: September 13, 2024
  • Camera-ready due: September 27, 2024
  • Consortium: October 18, 2024

Organization

Doctoral Consortium Chairs

  • Han van der Aa, University of Vienna, Austria
  • Jochen de Weerdt, KU Leuven, Belgium

PC Members & DC Tutors:

  • Sylvio Barbon Junior, University of Trieste, Italy
  • Iris Beerepoot, Utrecht University, Netherlands
  • Cristina Cabanillas, University of Seville, Spain
  • Paolo Ceravolo, University of Milan, Italy
  • Marco Comuzzi, Ulsan National Institute of Science and Technology, South Korea
  • Claudio Di Ciccio, Utrecht University, Netherlands
  • Chiara Di Francescomarino, DISI – University of Trento, Italy
  • Johannes De Smedt, KU Leuven, Belgium
  • Stephan Fahrenkrog-Petersen, Weizenbaum-Institut/Humboldt-Universität zu Berlin, Germany
  • Laura Genga, Eindhoven University of Technology, Netherlands
  • Henrik Leopold, Kühne Logistics University, Germany
  • Gabriel Marques Tavares, LMU Munich, Germany
  • Niels Martin, Hasselt University, Belgium
  • Marco Pegoraro, RWTH Aachen University, Germany
  • Jari Peeperkorn, KU Leuven, Belgium
  • Artem Polyvyanyy, The University of Melbourne, Australia
  • Jana-Rebecca Rehse, University of Mannheim, Germany
  • Arik Senderovich, York University, Canada
  • Tijs Slaats, University of Copenhagen, Denmark
  • Estefanía Serral, KU Leuven, Belgium
  • Matthias Weidlich, Humboldt-Universität zu Berlin, Germany
  • Jan Martijn van der Werf, Utrecht University, Netherlands