Workshops

This is the list of the workshop co-located with ICPM 2025.

Here are the key dates:

• Abstract Submission: July 18, 2025
• Papers Submission: July 25, 2025
• Paper Acceptance Notification: August 22, 2025
• Pre-workshop Camera-Ready Papers: September 22, 2025
• Workshops: October 20, 2025
• Post-workshop Camera-Ready Papers: November 4, 2025

AxRPA – Agents, the Replacement of Robotic Process Automation?

Organized by Andrés Jiménez Ramírez (University of Seville, Spain), José González Enríquez (University of Seville, Spain), Simone Agostinelli (Sapienza University of Rome, Italy), Antonio Martínez-Rojas (University of Seville, Spain).

The AxRPA workshop explores the transformative potential of AI agents in reshaping traditional Robotic Process Automation (RPA) and their integration with Task Mining under the broader scope of Process Science. As advancements in Large Language Models (LLMs) enable AI agents to execute goal-oriented tasks beyond static workflows, new challenges arise, such as defining autonomy, ensuring seamless collaboration with existing systems, and addressing ethical implications. The workshop bridges academia and industry to discuss topics such as dynamic adaptability, agent-based automation architectures, human-in-the-loop decision-making, and real-world applications. We invite contributions that explore theoretical foundations, technical implementations, and empirical evaluations to better understand the future of AI-driven process automation.

Website https://sites.google.com/diag.uniroma1.it/axrpa2025

COMINDS – Collaboration Mining for Distributed Systems

Organized by Lorenzo Rossi (University of Camerino, Italy), Andrea Delgado (Universidad de la República, Uruguay), Sara Pettinari (Gran Sasso Science Institute, Italy), Mahsa Pourbafrani (RWTH Aachen University, Germany), Mathias Weske (Hasso-Plattner-Institut, University of Potsdam, Germany).

The Fourth Workshop on Collaboration Mining for Distributed Systems (CoMinDS 2025) aims to facilitate the sharing of research findings, ideas, and experiences on new process mining techniques and practices for analyzing collaboration processes. Process mining is a powerful tool for the analysis of business processes carried on by one participant. However, it lacks approaches able to deal with the analysis of collaboration processes implemented by many participants in a distributed system. Confidentiality, privacy, data heterogeneity, and case correlation are only a few of the issues related to these scenarios. At the same time, object-centric process mining extends the analysis to the interactions and dependencies between different objects across organizations. This is particularly important in inter-organizational process mining, where data is often spread across different domains with varying formats, structures, and privacy concerns. It helps to uncover hidden inefficiencies, bottlenecks, and coordination issues that arise when multiple entities are involved in a shared process.

Website https://pros.unicam.it/cominds

EduPM – Education meets Process Mining

Organized by Jorge Munoz-Gama (Pontificia Universidad Católica de Chile), Francesca Zerbato (Eindhoven University of Technology, The Netherlands), Gert Janssenswillen (Hasselt University, Belgium), Wil van der Aalst (RWTH Aachen University, Germany).

Process Mining has proven to be a powerful interdisciplinary tool for addressing open challenges in several fields such as healthcare or finances … and Education is no exception. The recent Process Mining approaches proposed for learning analytics, curricular analytics, or MOOC analytics are just some examples. But the Education discipline is also contributing to Process Mining, providing best practices, lessons learned, and new artifacts for better teaching and assessing Process Mining. The International Workshop on Education meets Process Mining (EduPM) aims at providing a high-quality forum for the intersection of Education and Process Mining.

Website https://edupm.org

EdbA – Event Data and Behavioral Analytics

Organized by Benoît Depaire (Hasselt University, The Netherlands), Dirk Fahland (TU/Eindhoven, The Netherlands), Francesco Leotta (Sapienza Università di Roma, Italy), Arik Senderovich (York University, Canada), Xixi Lu (Utrecht University, The Netherlands), Daniel Calegari (Universidad de la República, Uruguay).

The EdbA workshop aims to provide a forum for discussing and developing analytics for various forms of event data, with a focus of extracting behavioral insights. In its most basic form, such data describes discrete events, which occur instantly – and thus have no duration, are ordered in time and are described by a set of attributes. The analytical potential of event data lies in the fact that it captures the dynamic behavior of people, objects and/or systems at a fine-grained level. The workshop welcomes both original research papers as well as high-quality case studies on event data and behavioral analytics.

Website https://www.edba.science

ERPM – Empirical Research in Process Mining

Organized by Djordje Djurica (WU Wien, Austria), Francesca Zerbato (Eindhoven University of Technology, The Netherlands), Amine Abbad-Andaloussi (University of St. Gallen, Switzerland).

The 2nd Workshop on Empirical Research in Process Mining invites researchers and practitioners to explore the field of empirical process mining, focusing on the systematic investigation of real-world applications, user interactions, and organizational impacts of process mining technologies. This workshop aims to deepen the understanding of process mining’s practical implications by showcasing qualitative and quantitative studies, case analyses, and organizational research. By offering a platform for discussing empirical research in process mining, the workshop supports the exchange of ideas and collaboration among academics and industry professionals, driving the application of empirical methods within the field. The workshop aims to provide participants with an overview of empirical methods used in process mining, inspire rigorous studies, and identify opportunities and challenges in advancing empirical research.

Website https://erpm-workshop.github.io/homepage

GenAI4PM – Generative AI for Process Mining

Organized by Mohammadreza Fani Sani (Microsoft), Cristina Cabanillas (Universidad de Sevilla, Spain), Humam Kourani (Fraunhofer Institute for Applied Information Technology, Germany), Alessandro Berti (RWTH Aachen University, Germany).

The Second International Workshop on Generative AI for Process Mining (GenAI4PM 2025), held alongside ICPM 2025, dives deep into the transformative potential of generative AI in process mining. It explores advanced methodologies for process analysis, innovative modeling techniques, and automation strategies, integrating GenAI with technologies like blockchain, robotic process automation, and business process management systems. The workshop tackles critical topics such as enhancing business KPIs, predictive monitoring, root-cause analysis of inefficiencies, and addressing challenges like bias, fairness, and explainability. Designed for researchers, industry professionals, and developers, it fosters collaboration through a keynote, presentations, and interactive discussions, pushing the boundaries of process mining innovation and its real-world impact.

Website https://www.genai4pm2025.info

ML4PM – Leveraging Machine Learning in Process Mining

Organized by Paolo Ceravolo (Università degli Studi di Milano, Italy), Sylvio Barbon Junior (Università degli Studi di Trieste, Italy), Vincenzo Pasquadibisceglie (University of Bari Aldo Moro, Italy).

The International Workshop on Leveraging Machine Learning in Process Mining brings together researchers and practitioners to explore advances at the intersection of machine learning and process mining, including topics like predictive monitoring, deep learning, and online process mining. The event aims to foster collaboration and innovation, highlighting the increasing relevance of AI techniques in process-aware systems. The workshop plays an important role in advancing research and promoting the practical adoption of machine learning methods in business process analysis and automation. ML4PM contributes to shaping the future of intelligent process management through open discussion, high-quality contributions, and international participation.

Website https://ml4pm.di.unimi.it

PDCW – Process Discovery Contest Workshop

Organized by Eric Verbeek (Eindhoven University of Technology, The Netherlands).

Like in 2024, there will be a workshop around this Process Discovery Contest: The Process Discovery Contest Workshop (PDCW) 2025. In this workshop, every contestant gets to introduce the discovery approach they are using, and to show and discuss discovery results on a number of selected event logs from the contest. This provides an overview of the current state in the field of (automated) process discovery and where there is room for improvement. It also shows stronger and weaker points of the different approaches.

Website https://icpmconference.org/2025/process-discovery-contest-workshop

PHPM – Personal and Human-Centric Process Mining

Organized by Iris Beerepoot (Utrecht University, The Netherlands), Adela del Río Ortega (Universidad de Sevilla, Spain), Thomas Grisold (University of St. Gallen, Switzerland).

Process mining research and practice focus on workflows, typically with an interest to analyze and improve them. In this workshop, we are interested in personal and human-centric aspects of process mining. The goal of the workshop is to explore methodologies, tools, and real-world cases. We will reflect on challenges, such as data collection methods (desktop logs, wearable devices), privacy preservation, ethical considerations, and personalized visualization techniques. Researchers and practitioners are encouraged to join, share insights, and shape the future direction of this emerging field. Possible topics include productivity enhancement, well-being, and behavior optimization, alongside critical reflections on potential negative impacts, including surveillance concerns. The outcomes of this workshop will be submitted to the journal Process Science.

Website https://process-mining.notion.site/phpm

PM4S – Process Mining for Sustainability

Organized by Nina Graves (RWTH Aachen University, Germany), Martín Rubio (Universidad de la República, Uruguay), István Koren (RWTH Aachen University, Germany), Andreas Fritsch (Karlsruhe Institute of Technology, Germany).

The PM4S workshop aims to provide a platform for researchers and practitioners to explore the intersection of process mining and sustainability and raise awareness for the potential of process mining for supporting sustainable development. The workshop offers a platform to present work contributing to the topic and foster discussion and collaboration on innovative approaches to enhance business processes’ environmental and social performance. PM4S encourages submissions that propose process mining frameworks integrating sustainability-related knowledge, enhance process mining techniques to support production and logistics processes, or describe the application of process mining to increase sustainability. The workshop addresses a broader audience than researchers and practitioners directly targeting sustainability. We welcome industrial audiences at ICPM to join us at PM4S to explore how process mining can drive the transition to more sustainable business processes, as well as process analysts working on methods that contribute to the path to sustainability.

Website https://pm4s-ws.github.io/workshop

PODS4H – Process-Oriented Data Science for Healthcare

Organized by Niels Martin (Hasselt University, Belgium), Carlos Fernandez-Llatas (Universitat Politècnica de València, Spain), Owen Johnson (University of Leeds, UK), Jorge Munoz-Gama (Pontificia Universidad Católica de Chile).

The Eighth International Workshop on Process-Oriented Data Science for Healthcare (PODS4H25) provides a high-quality forum for interdisciplinary researchers and practitioners to exchange research findings and ideas on data-driven process analysis techniques and practices in healthcare. We aim to bring together researchers and practitioners in a spirit of collaboration and co-creation. In this way, we have the ambition to move PODS4H research and practice forward, taking into account the distinguishing characteristics and challenges of the healthcare domain.

Website https://www.pods4h.com/pods4h-workshop/2025

PQMI – Process Querying, Manipulation, and Intelligence

Organized by Artem Polyvyanyy (The University of Melbourne, Australia), Antonella Guzzo (University of Calabria, Italy), Anandi Karunaratne (University of Melbourne, Australia), Andrei Tour (The University of Melbourne, Australia).

The Tenth International Workshop on Process Querying, Manipulation, and Intelligence (PQMI 2025) aims to provide a high-quality forum for academics and practitioners to exchange research findings and ideas on methods and practices in the corresponding areas. Process Querying combines concepts from Big data and process modeling and analysis with business process intelligence and process analytics to study techniques for retrieving and refining processes, both observed and recorded in the real-world and envisioned and designed in conceptual models, to systematically organize, extract, and enhance process-related information for subsequent use. Process Manipulation studies methods to augment, enhance, and redesign process models with the ultimate goal of improving the efficiency and effectiveness of the real-world business processes they represent and enable. Process Intelligence looks into the application of representation and foundation models and approaches in artificial intelligence (AI), such as knowledge representation, search, automated planning, reasoning, natural language processing, explainable AI, autonomous agents, and multi-agent systems, for solving problems in process mining and vice versa using process mining techniques to tackle problems in AI.

Website http://processquerying.com/pqmi2025

SMA4PM – Stream Management & Analytics for Process Mining

Organized by Marwan Hassani (Eindhoven University of Technology, The Netherlands), Thomas Seidl (Ludwig-Maximilians-Universität München, Germany), Andrea Burattin (Technical University of Denmark, Denmark), Ahmed Awad (The British University in Dubai, United Arab Emirates), Gabriel Marques Tavares (Ludwig-Maximilians-Universität München, Germany).

The main goal of the workshop is to promote the use and development of new techniques to support the management and analysis of streaming-based processes. We aim to bring together practitioners and researchers from different communities, e.g., Process Mining, Stream Data Mining, Case Management, Continual Learning, Data Generation and Simulation, Business Process Management, Database Systems and Information Systems who share an interest in the online analysis and optimization of business processes and process-aware information systems, particularly under constraints related to time, storage, or complexity. The workshop aims to discuss the current state of ongoing research and sharing practical experiences, exchanging ideas and defining future research directions and identifying industrial use cases. We invite submissions of both regular papers and work-in-progress papers.

Website https://sma4pm.github.io/2025

SUN-PM – Stochastics, Uncertainty and Non-Determinism in Process Mining

Organized by Marco Pegoraro (RWTH Aachen University, Germany), Sander Leemans (RWTH Aachen University, Germany), Xixi Lu (Utrecht University, The Netherlands).

Traditional process mining methodologies typically assume deterministic and noise-free event data, yet real-world scenarios often involve stochastic effects, uncertain information, incomplete traces, and partial observability of events. Consequently, there is a growing need for methods that accommodate stochastics, uncertainty, and non-determinism in process mining. This type of information or meta-information, when associated with events, attributes, traces, or the components of a model, has been shown to be useful to the goal of obtaining more accurate and trustworthy results from process-centric analyses. The First International Workshop on Stochastics, Uncertainty, and Non-determinism in Process Mining (SUN-PM) aims to provide reach and visibility, collect, and disseminate research ideas that apply process mining in contexts where models and/or data contain or represent probabilistic, non-deterministic, partially-ordered, or fuzzy behavior.

Website http://sun-pm.com