Research Track I: Foundations.- Trusted Compliance Checking on Blockchain with Commitments: a Model-driven Approach.- The dpex-Framework: Towards Full WFMS Support for Decentralized Process Execution.- A Reference Data Model to Specify Event Logs for Big Data Pipeline Discovery.- Foundations of Collaborative Declare.- Declarative Choreographies with Time and Data.- Execution Semantics for Process Choreographies with Data.- Large Language Models for Business Process Management: Opportunities and Challenges.- Research Track II: Engineering.- Predicting Unseen Process Behavior Based on Context Information from Compliance Constraints.- The Interplay Between High-Level Problems And The Process Instances That Give Rise To Them.- Adding the sustainability dimension in process mining discovery algorithms evaluation.- Steady State Estimation for Business Process Simulations.- Analytics Pipeline for Process Mining on Video Data.- An SQL-Based Declarative Process Mining Framework for AnalyzingProcess Data Stored in Relational Databases.- Optimizing the Solution Quality of Metaheuristics through Process Mining based on Selected Problems from Operations Research.- Resource Allocation in Recommender Systems for Global KPI Improvement.- Zooming in for Clarity: Towards low-code modeling for Activity Data Flow.- Research Track III: Management.- Towards a Theory on Process Automation Effects.- Process Mining and the Transformation of Management Accounting: A Maturity Model for a Holistic Process Performance Measurement System.- Conversational Process Modelling: State of the Art, Applications, and Implications in Practice.- Detecting Weasels at Work: A Theory-driven Behavioural Process Mining Approach.- Business Process Management Maturity and Process Performance - A Longitudinal Study.- From Automatic Workaround Detection to Process Improvement: A Case Study.- The Impact of Leadership on Business Performance: The Role of Process Performance.