Research Track I: Foundations -- Efficient Optimal Alignment between Dynamic Condition Response Graphs and Traces -- Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models -- Event Abstraction for Partial Order Patterns -- Incremental Discovery of Process Models Using Trace Fragments -- Approximating Multi-Perspective Trace Alignment Using Trace Encoding -- POWL: Partially Ordered Workflow Language -- Polynomial-Time Conformance Checking for Process Trees -- Research Track II: Engineering -- Investigating the Influence of Data-aware Process States on Activity Probabilities in Simulation Models: Does Accuracy Improve -- yLoPro: Profiling the Dynamics of Event Logs -- Does This Make Sense? Machine Learning-based Detection of Semantic Anomalies in Business Processes -- Inferring Missing Entity Identifiers from Context using Event Knowledge Graphs -- Process Channels: A New Layer for Process Enactment Based on Blockchain State Channels -- Action-Evolution Petri Nets: a Framework for Modeling and Solving Dynamic Task Assignment Problems -- Context-Based Activity Label-Splitting -- Verifying Resource Compliance Requirements From Natural Language Text Over Event Logs -- From Text to Performance Measurement: Automatically Computing Process Performance using Textual Descriptions and Event Logs -- Agent Miner: An Algorithm for Discovering Agent Systems from Event Data -- Interactive Multi-Interest Process Pattern Discovery -- Research Track III: Management -- Increasing RPA adoption: An experiment on countermeasures for status quo bias -- Stochastic-Aware Comparative Process Mining in Healthcare -- On the Cognitive Effects of Abstraction and Fragmentation in Modularized Process Models.-Not Here, But There: Human Resource Allocation Patterns -- A Novel Multi-Perspective Trace Clustering Technique for IoT-enhanced Processes: A Case Study in Smart Manufacturing -- The Impact of Process Complexity on Process Performance: A Study using Event Log Data -- Deviation from Standards and Performance in Knowledge-Intensive Processes: Evidence from the Process of Selling Customized IT Solutions -- Benevolent Business Processes - Design Guidelines Beyond Transactional Value -- PEM4PPM: A Cognitive Perspective on the Process of Process Mining.