Preface to the ICPM 2024 Doctoral Consortium and Demonstration Track Jochen De Weerdt1 , Giovanni Meroni2 , Han van der Aa3 and Karolin Winter4 1 KU Leuven, Department of Decision Sciences and Information Management, Faculty of Economics and Business, Naamsestraat 69, 3000 Leuven, Belgium 2 Technical University of Denmark, Department of Applied Mathematics and Computer Science, Richard Petersens Plads Building 324, 2800 Kgs. Lyngby, Denmark 3 University of Vienna, Faculty of Computer Science, Währinger Str. 29, 1090 Vienna, Austria 4 Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Groene Loper 3, 5612AE Eindhoven, The Netherlands This volume contains the papers presented at the Doctoral Consortium and the Demonstration Track of the 6th International Conference on Process Mining (ICPM 2024), organised by Technical University of Denmark in Lyngby, Denmark. The Doctoral Consortium aims to provide valuable feedback on students’ research topics, directions, methods and plans, to help doctoral candidates pitch their research ideas to peers and senior researchers, and to promote the development of a community of scholars that will help them in their future careers. Each of the 12 submitted research proposals has been evaluated by three members of the program committee, who provided valuable input to the doctoral candidates. Given that all proposals fit the topic and the aims of the doctoral consortium, all 12 were accepted, allowing all doctoral candidates to participate in the Consortium. The proposals cover a broad variety of process mining topics, from traditional tasks such as discovery, conformance checking, and predictions, to considerations of stochasticity, transparency, and trustworthiness. During the Doctoral Consortium itself, the doctoral candidates were given a keynote on algorithm engineering, pitched their project proposals, and discussed different aspects of research in round tables. The Demonstration Track is intended to showcase innovative Process Mining tools and applications that may originate either from research initiatives or from industry. In this edition, the track received 35 submissions, of which 24 were accepted. A large variety of tools addressing a broad range of topics were presented. Among others, those comprised event log generation and manipulation, frameworks, platforms and editors, process discovery, compliance, and analysis, simulation and visualization. The contributions demonstrate the commitment of the research community to implementing practical applications and tools in process mining and to enabling the dissemination and use of valuable research outcomes to address concrete organisational and societal challenges. The organisers of the Doctoral Consortium and the Demonstration Track want to express their gratitude to all individuals, institutions, and sponsors supporting ICPM 2024. Special thanks go to the Program Committees member whose contributions made the tracks a success. ICPM Doctoral Consortium and Demo Track 2024 © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). CEUR ceur-ws.org Workshop ISSN 1613-0073 Proceedings Organisation Doctoral Consortium Chairs Han van der Aa University of Vienna, Austria Jochen De Weerdt KU Leuven, Belgium Program Committee 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 Demonstration Track Chairs Giovanni Meroni Technical University of Denmark, Denmark Karolin Winter Eindhoven University of Technology, The Netherlands Program Committee 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 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 Additional Reviewers Sima Sarv Ahrabi Sant’Anna School of Advanced Studies, Italy Alessio Galassi University of Camerino, Italy Emilio Incerto IMT School For Advanced Studies Lucca, Italy Mattia Salnitri Politecnico di Milano, Italy Francesco Vinci University of Padua, Italy