Call for Demos

The ICPM 2024 Demo Track is intended to showcase innovative Process Mining (PM) tools and applications that may originate either from research initiatives or from industry. The Demo Track will provide an opportunity to present and discuss emerging technologies with researchers and practitioners in the PM field.

To be included in the Demo Track, tools will be evaluated on the basis of relevance to the PM community as well as on novelty and innovativeness. Previously demonstrated tools are also welcome if there is clear evidence of the value added to the previous version of the tool, such as new tool features and/or its adaptation and use for new practical applications. The tools will also be evaluated on their maturity, complexity and robustness, such as the list of features, supported use cases, number and types of users.

In order for reviewers to assess the maturity and robustness, the tools need to be available for testing. If the tool requires a license, it must be provided to reviewers, at least for the review period. The procedure to obtain the license must not disclose the identity of the reviewers. To account for the FAIR principles, the authors are strongly encouraged to make the tool available for at least 5 years since the paper has been published.

The tool submission is to be accompanied by an extended abstract that discusses the relevance, novelty, innovativeness and maturity of the tool. The extended abstract, should describe at least the following information:

  • The significance of the tool to the PM field;
  • The innovations of the tool to the PM community and its main features;
  • The maturity of the tool. For this section, one could provide a brief description of case studies performed using the tool, provide scalability data or pointers indicating where readers can find more information about these case studies;
  • A link to a Web page where to download or use the tool. If the tool requires a license, a paper’s appendix should describe how to obtain a (temporary) license. The procedure to obtain the license must not disclose the identity of the reviewers. The appendix will not be included in the final version for the proceedings, if the demo is accepted;
  • A link to a video that screencasts and demonstrates the tool, preferably including voice, which must not be longer than 4 minutes;

Submission and Review Process

The extended abstract should be submitted through the ICPM 2024 submission system, which is reachable at where one should select “ICPM: Demonstration track”.

Demo abstracts must be no longer than 6 pages in PDF format, must adhere to CEURART submission formatting guidelines, and must make use of the following LaTeX template (which is derived from CEURART 1-column template): A template for use with Overleaf is also available at the following link: In addition, the authors need to fill in the metadata table at the beginning of the template with information relevant for their tool.

Accepted submissions will be published as CEUR proceedings (indexed by DBLP and SCOPUS).

All demo submissions will be reviewed by the demo program committee. The reviewing committee will also vote on the best demo to be granted the ICPM 2024 Best Demo Award.


The practical organization of the Demo Track will be communicated later.

Key Dates

  • Extended abstract submission: August 23, 2024
  • Notification of Acceptance: September 18, 2024
  • Camera-Ready: September 25, 2024
  • Demo session: October 16, 2024 (tentative)

Demo Chairs

  • Giovanni Meroni, Technical University of Denmark, Denmark
  • Karolin Winter, Eindhoven University of Technology, Netherlands

PC Members

  • Simone Agostinelli, Sapienza University of Rome, Italy
  • Abel Armas Cervantes, University of Melbourne, Australia
  • Iris Beerepoot, Utrecht University, Netherlands
  • Thomas Chatain, Université Paris-Saclay, France
  • Marco Comuzzi, Ulsan National Institute of Science and Technology, South Korea
  • Vlad Paul Cosma, University of Copenhagen, Denmark
  • Massimiliano de Leoni, University of Padua, Italy
  • Jochen De Weerdt, KU Leuven, Belgium
  • Chiara Di Francescomarino, University of Trento, Italy
  • Irene Bedilia Estrada Torres, University of Seville, Spain
  • Laura Genga, Eindhoven University of Technology, Netherlands
  • Gert Janssenswillen, Hasselt University, Belgium
  • Ekkart Kindler, Technical University of Denmark, Denmark
  • Sander J.J. Leemans, RWTH Aachen, Germany
  • Francesco Leotta, Sapienza University of Rome, Italy
  • Xixi Lu, Eindhoven University of Technology, Netherlands
  • Felix Mannhardt, Eindhoven University of Technology, Netherlands
  • Niels Martin, Hasselt University, Belgium
  • Massimo Mecella, Sapienza University of Rome, Italy
  • Alex Mircoli, Università Politecnica delle Marche, Italy
  • Raghava Rao Mukkamala, Copenhagen Business School, Denmark
  • Roberto Nai, University of Turin, Italy
  • Sara Pettinari, University of Camerino, Italy
  • Domenico Potena, Università Politecnica delle Marche, Italy
  • Mahsa Pourbafrani, RWTH Aachen, Germany
  • Majid Rafiei, SAP SE, Germany
  • Manuel Resinas, University of Seville, Spain
  • Lorenzo Rossi, University of Camerino, Italy
  • Emilio Sulis, University of Turin, Italy
  • Andrea Vandin, Sant’Anna School of Advanced Studies, Italy