RPA Forum Program

Tuesday (03.09.2024), 14:00 – 15:30

RPA Forum 1 – Keynote: Hajo A. Reijers
The Dagstuhl Diaries: In RPA we Trust
Abstract: You need to trust your software robot to properly carry out the work you assigned to it. But can the software robot also trust you to let it do that work? This is one of the intriguing questions that was raised in the Dagstuhl castle during the seminar that was organized in July 2024, entitled “Improving Trust between Humans and Software Robots in Robotic Process Automation”. During this RPA Forum keynote, prof. Hajo Reijers will share with you the key insights from that seminar. If you bring a glass of Riesling wine to the seminar, you will almost feel like you were in Dagstuhl yourself.

Bio: Hajo Reijers is a full professor in the Department of Information and Computing Sciences of Utrecht University, where he leads the Process Science group. The focus of Hajo’s academic research is on business process redesign, process automation, conceptual modeling, and process analytics. On these topics, he contributed to about 300 scientific papers, chapters in edited books, and articles in professional journals. If you know a squash court in Krakow, feel free to challenge him to play a match.

Tuesday (03.09.2024), 16:15 – 17:45

RPA Forum 2
Tom Hohenadl, Maximilian Völker, Christian Stummeyer and Mathias Weske.
Democratizing Robotic Process Mining: A Conceptual Framework for User Actions, Tasks, and RPA Bots

Antonio Martínez Rojas, José Luis Alonso Rocha, Andrés Jiménez Ramírez and José González Enríquez.
From Screenshots to Process Models: Improving Activity Identification through Screen Text
Peter A. François and Ralf Plattfaut.
Designing The Organizational Reuse Environment – Enabling Citizen Developers to Reuse Process Automation Artifacts

Maximilian Völker and Mathias Weske.
Measuring Complexity of Bot Models in Robotic Process Automation
Tom Hohenadl, Bernhard Axmann and Christian Stummeyer.
Decision-Making in Robotic Process Automation Programming and its Influence on Robotic Process Mining