Trust and Privacy in Process Analytics

Authors

  • Felix Mannhardt Eindhoven University of Technology, Netherlands
  • Agnes Koschmider Kiel University, Germany
  • Lars Biermann Deloitte München, Germany
  • Jana Lange Celonis, Germany
  • Florian Tschorsch Technical University of Berlin, Germany
  • Moe Thandar Wynn Queensland University of Technology, Australia

DOI:

https://doi.org/10.18417/emisa.15.8

Keywords:

privacy process mining

Abstract

This paper summarizes the panel discussion at the 1st Workshop on Trust and Privacy in Process Analytics (TPPA) co-located with the 2nd International Conference on Process Mining. The panel discussed to what extend trust and privacy is embedded in applications of process mining and took place on 5th October 2020. The virtual session was chaired by Felix Mannhardt and Agnes Koschmider and the invited panelists were Moe Wynn, Jana Lange, Lars Biermann and Florian Tschorsch. The major challenges that this panel identified related to privacy-preserving process mining are to include (user-centric) privacy filters, understanding the privacy-utility trade-off and to link privacy-preserving techniques with dataset quality.

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Published

2020-11-26

Issue

Vol. 15 (2020)

Section

Special Issue on Privacy in IS Design

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