Call for Papers
Workshop description
The application of process mining is an excellent example of the digital twin of organizations. The digital twin should actively assist the processes in making confident decisions about the next steps and foreseeing the effects of actions. Strategic, high-level, operational, and short-term decisions are examples of these actions. Forward-looking techniques enable organizations to create their own digital twins. Process mining provides data-driven support for businesses to make their processes transparent. Most process mining techniques are backward-looking. They generate descriptive process models based on historical data and identify performance and compliance issues. Forward-looking process mining focuses on turning the results of backward-looking techniques into actions. Process mining is capable of providing insights into the future of processes given the provided insight, i.e., the currently discovered insights.
The purpose of this workshop is to present and discuss the potential forward-looking process mining techniques where they play a role in an organization’s digital twin. The scope of the workshop includes approaches such as data-driven process model generation, simulation, and prediction, as well as a human role in these approaches. The workshop aims to target all the researchers who design and implement process mining techniques for future analysis of processes. The new approaches should be able to support, enrich, and improve current forward-looking techniques.
Topics
The topics of interest for this workshop, but not limited to, are provided below:
- Process mining as digital twins of organizations
- Implemented digital shadow of business processes in practice
- Interdisciplinary topics that support simulation of processes
- Predictive process analytics
- Prediction models
- Multi-perspective process mining enriching future analysis
- Prescriptive process analytics and recommender systems
- Business process simulation
- Conceptual modeling of forward-looking techniques
- System dynamics thinking
- Simulation/optimization for process mining
- Explainable prescribing and predicting process models
- Augmented process mining
- Action-oriented business processes
- Resource allocation
- Human in the loop of making accurate models for future analysis
- Agent-based modeling
Organizing Committee
- Mahsa Pourbafrani, RWTH Aachen University
- Jana-Rebecca Rehse, University of Mannheim
- Andrea Marrella, Sapienza Università di Roma
If you have any queries concerning the workshop, please contact mahsa.bafrani@pads.rwth-aachen.de.
Program committee
- Lior Limonad, IBM Company
- Fabiana Fournier, IBM Company
- Niek Tax, Meta Company
- Luise Pufahl, Technische Universität Berlin
- Vadim Denisov, ServiceNow Company
- Majid Rafiei, RWTH Aachen University
- Stephen Pauwels, Universiteit Antwerpen
- Mohammadreza Fani Sani, Microsoft Company
- Sebastiaan van Zelst, RWTH Aachen University/Fronhofer Institute of Technology
- Sander Leemans, RWTH Aachen University
- Jan Mendling, Humboldt-Universität zu Berlin
- Wil van der Aalst, RWTH Aachen University