At BPM 2024, the following awards were presented:
BPM2024 BEST BLOCKCHAIN FORUM PAPER
Smart Contracts’ Upgradability for Flexible Business Processes
Sidra Malik, Dilum Bandara, Nick Van Beest and Sherry Xu
BPM2024 BEST CEE FORUM PAPER
Adapting to Change: Employees Ambidexterity as a Driver for Operational Adaptability and Organizational Development
Mariusz Hofman, Grzegorz Grela, Paulina Orzelska and Jarosław Banaś
BPM2024 BEST DEMO & RESOURCES FORUM PAPER
Optimos: A Tool for Simulation-Driven Business Process Optimization
Orlenys López-Pintado, Jannis Rosenbaum, Jonas Berx and Marlon Dumas
BPM2024 BEST INDUSTRY FORUM PAPER
LLM4PM: A case study on using Large Language Models for Process Modeling in Enterprise Organizations
Clara Ziche and Giovanni Apruzzese
BPM2024 BEST RPA FORUM PAPER
Decision-Making in Robotic Process Automation Programming and its Influence on Robotic Process Mining
Tom Hohenadl, Bernhard Axmann and Christian Stummeyer
BPM2024 Best Reviewers
- Andrey Rivkin, Technical University of Denmark, Denmark
- Orlenys López-Pintado, University of Tartu, Estonia
- Irene Vanderfeesten, KU Leuven, Belgium
BPM2024 BEST STUDENT PAPER AWARD
Looking for Change: A Computer Vision Approach for Concept Drift Detection in Process
Mining
Alexander Kraus and Han van der Aa
Runner up BPM2024 BEST PAPER AWARD
- Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications
Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi and Marco Montali - Attention Please: What Transformer Models Really Learn for Process Prediction
Martin Käppel, Lars Ackermann, Stefan Jablonski and Simon Härtl
BPM2024 BEST PAPER AWARD
Explanatory Capabilities of Large Language Models in Prescriptive Process Monitoring
Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Alexander Nolte and Marlon Dumas
Runner-up BEST PhD AWARD
Measuring, Analyzing and Managing Process Complexity
Maxim Vidgof, Vienna University of Economics and Business
Springer BEST PhD AWARD
Discovering Organizational Models from Event Logs for Workforce Analytics
Jing Yang, Queensland University of Technology