Process Miner, are you sure?

The abstract is as follows: Process mining aims to derive insights into business processes from event logs recorded from information systems. With the increasing availability of large-scale event logs, it has shifted towards a data-oriented research discipline, aiming to design algorithms that are applicable and useful in practice. This shift has revealed a fundamental problem in process discovery research: Currently, contributions can only be considered in isolation. Researchers conduct experiments to show that they move the field forward, but due to a lack of reliability and validity, the individual contributions are hard to generalize. One reason for these problems is the lack of conventions or standards for experimental design in process discovery. Hence, we propose “process discovery engineering”: a research methodology for process discovery, consisting of a shared terminology and a checklist for conducting experiments.

I'm currently working as a junior professor of management analytics at the business school of the university of Mannheim, researching process mining, machine learning and business process management. I'm particularly interested in applying data-driven techniques to solve practical business problems to improve processes and foster the digital transformation. In my former position at the German Research Center for Artificial Intelligence, I gained a lot of experience in conducting applied research projects and collaborations with industry.