ICPM 2024 encourages papers on new methodologies, techniques, and applications for process mining, as well as case studies coming from industrial scenarios. Also, papers describing novel tools, fundamental research, and empirical studies on process mining are expected. For the sake of replicability of the presented studies, the addition of supplementary resources is strongly encouraged, such as used datasets, publicly accessible implementations of new techniques, and experimental packages for empirical studies. The use of novel, previously unpublished datasets is most welcome. Research on existing datasets must clearly showcase the novelty or unprecedented results of the applied analysis.

Selected, accepted research papers will be considered for publication in an extended and revised form in a special issue of the flagship journal Process Science, edited by Springer (https://link.springer.com/journal/44311).

The thematic areas in which contributions are sought include, but are not limited to, those listed below.

Process mining techniques
- Automated Discovery of Process Models
- Conformance/Compliance Analysis
- Construction of Event Logs
- Event Log Quality Improvement
- Decision Mining for Processes
- Rule/constraint-based Process Mining
- Mining from non-process-aware systems
- Analyzing Event Streams
- Object-centric and Multi-instance Process Mining
- Data-centric Process Mining
- Multi-perspective Process Mining
- Simulation/optimization for Process Mining
- Predictive Process Analytics
- Prescriptive Process Analytics and Recommender Systems
- Responsible Process Mining
- Privacy-preserving Process Mining
- Process Model Repair
- Process Performance Mining
- Variants/deviance Analysis and Root-cause Analysis
- Visual Process Analytics
- Process Monitoring
- Process Querying and Repositories

Process mining fundamental research
- Formal Foundations of Process Mining
- Comparative and Benchmark Studies on Process Mining
- Conceptual Models Related to Process Mining
- Human-centered Studies on Process Mining
- Process Mining Quality Measures
- Process Mining Guidelines

Process mining applications and case studies in
- Artificial Intelligence
- Blockchain Technologies
- Robotic Process Automation (RPA)
- Chatbots for Process Mining
- Business Activity Monitoring and Business Intelligence
- (Cyber) Security and Privacy
- Operations Management and Lean Six Sigma
- Process Performance Measurement
- Process Reengineering
- Resource Management
- Risk Management
- Sensors, Internet-of-Things (IoT) and Wearable Devices
- Industry 4.0
- Specific domains (such as accounting, finance, government, healthcare, manufacturing, education)