We want to bring your attention to the possibility of submitting your work to the upcoming Special Issue on Collaboration Process Mining for Distributed Systems in the Information Systems journal, edited by Elsevier.

The Special Issue on Collaboration Mining for Distributed Systems 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 still calls for approaches able to deal with the analysis of collaboration processes implemented by many participants in a distributed system, e.g., supply chains involving manufacturers, producers, and retailers; healthcare scenarios involving patients, hospitals, and doctors; or even multi-agent systems and smart systems like multi-robot and IoT systems. 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.

To bridge this gap, specialized discovery algorithms, conformance techniques, and enhancement approaches are required. In this direction, the special issue points to creating a dialogue centered on the development of scientific foundations enabling the application of collaboration mining for distributed systems.

For full details on scope and guidelines, visit https://www.sciencedirect.com/special-issue/328210/collaboration-process-mining-for-distributed-systems.

Important dates

• Submission opening: December 8, 2025
• Submission deadline: July 13, 2026

The topics relevant to this special issue include, but are not limited to:

• Cross-organizational Process Simulations
• Distributed Event Logs Preprocessing
• Correlation Mechanisms for Distributed Event Logs
• Discovery of Collaboration Process Models
• Conformance Metrics and Techniques for Collaboration Process Models
• Multi-perspective Analysis of Collaborative Processes
• Privacy-preserving Process Mining for Distributed Systems
• Distributed Systems Monitoring and Repair
• Federated Process Mining
• Streaming Collaboration Mining
• Object-centric Process Mining for Distributed Systems
• Case notions for Collaboration Process Mining
• Collaboration Process Mining in application domains (e.g., healthcare, supply chain management)

Guest editors

• Dr. Lorenzo Rossi, University of Camerino, Camerino, Italy (lorenzo.rossi@unicam.it)
• Prof. Andrea Delgado, Universidad de la República, Montevideo, Uruguay (adelgado@fing.edu.uy)
• Dr. Sara Pettinari, Gran Sasso Science Institute, L’Aquila, Italy (sara.pettinari@gssi.it)
• Dr. Mahsa Pourbafrani, RWTH Aachen University, Aachen, Germany (mahsa.bafrani@pads.rwth-aachen.de)
• Prof. Mathias Weske, Hasso-Plattner-Institut, Potsdam, Germany (mathias.weske@hpi.de)

We hope you will join us in shaping this special issue on Collaborative Process Mining!