Process Mining research continues to grow in relevance and significance, as reflected in the enthusiastic response to this year's ICPM conference. We received 110 paper submissions, marking the highest number in the history of the conference. We extend our gratitude to all the authors who chose ICPM as the venue to share their research and contribute to the ongoing discussions in this field.

Maintaining the quality and integrity of the conference was a priority. Of the 110 submissions, 13 papers were desk-rejected based on scope or quality considerations. The remaining 97 papers underwent a rigorous peer-review process, with each being reviewed by three international experts in the field. On average, each paper received three to four comments, resulting in over 360 comments in total. This effort was made possible by the dedication of the 118 reviewers and subreviewers. We are grateful for their time and expertise. Their thoughtful and constructive feedback was a valuable contribution to ensuring a high-quality program.

Following this rigorous review process, 21 full papers were accepted, reflecting an acceptance rate of 22%. You can read them in the ICPM 2024 proceedings. These papers showcase the diversity and depth of the process mining field, covering a range of topics that include advancements in artificial intelligence in process mining, the quality and interpretation of process mining results, privacy-preserving/stochastic-aware techniques, and data-driven process simulation. Other topics included the discovery of object-centric process models, resource mining, and the analysis of process complexity. Together, these contributions highlight the broad scope and evolving nature of process mining research.

This year, we also featured an innovation track for the first time, which allowed authors to present novel ideas and unique case studies in the form of posters. Six papers were accepted in this category, addressing themes such as process monitoring in agriculture and the extraction of real-world event logs from game data. These papers complemented the main conference program by emphasizing practical applications and exploratory concepts.

The program began with a keynote address by Young-Jun Son, the James J. Solberg Head and Ransburg Professor of the School of Industrial Engineering at Purdue University. His presentation, Multi-paradigm, Online, Hierarchical Simulations to Support Process Mining provided a thoughtful exploration of simulation techniques and their intersection with process mining. It set a reflective and insightful tone for the rest of the conference.

For the remaining sessions, session chairs were selected from a diverse group of early- and mid-career researchers from around the world. They brought a sense of energy and commitment to their roles, skillfully guiding discussions and fostering engagement during each session. Their contributions help maintain the high standards of the conference.

Organizing the ICPM 2024 scientific program was an honor and a rewarding experience. We are deeply thankful to the entire organizing team from DTU, whose hard work and thoughtful planning were evident in every detail, from the well-curated sessions to the enjoyable social events. Finally, we thank all the participants who joined us in Lyngby and made this year’s ICPM conference a meaningful and unforgettable gathering for the process mining community.

We look forward to continuing this journey together at future ICPM conferences.
Xixi Lu, Luise Pufahl, and Minseok Song ICPM 2024 program chairs