Call for Papers

Announcement - Deadline extension

In accordance with the deadline extension announced for the main track of the ICPM conference, we also extend the submission deadline of the TPPA workshop by one week to the 25 August 2020. We are looking forward to receive your papers.

Announcement - Virtual workshop due to COVID-19 pandemic

As already announced on the official ICPM page, the conference and also the workshops are converted to a virtual experience. All workshop days and deadlines are kept as announced. We hope that this makes ICPM and the TPPA workshop more accessible and we will try to facilitate discussions even in the virtual workshop. Here the information published on the ICPM website:

Due to the exceptional circumstances of the COVID-19 outbreak, ICPM 2020 will be a fully virtual conference, with no travel involved. However, the entire program, including the co-located events, will be retained, and will not change. With the spirit of keeping the entire conference as interactive as possible, presentations will be given live using webinars. The presentations will also be broadcasted, and also available after the conference for off-line viewing. Attendees will be able to ask questions, which will be answered at the end of the each presentation. When multiple sessions run in parallel (e.g., workshops), the conference will feature parallel virtual rooms.

Workshop description

Process mining has been successfully applied in analysing and improving processes based on event logs in all kinds of environments. However, the impact of trust and privacy on the technical design as well as the organizational application of process mining has been largely neglected. Both topics are closely related to the responsible application of data science, a topic that has gotten more attention in recent years as data-driven methods start to permeate our society.

Privacy relates to the concern that event logs may contain personal data of both customers and employees and the challenge of protecting the information about individuals while still being useful for process mining (e.g., differential privacy, k-anonymity, homomorphic encryption, secure multi-party computing). Often, security aspects (e.g., encryption) are closely connected when processing personal data cannot be avoided. On the other hand, the workshop is about the concept of trust, which is required both from the perspective of trust in organisational and technological measures that event logs are not misused (e.g., for worker surveillance) as well as from the perspective of trust that the results of a process mining analysis faithfully reflect reality (e.g., data quality, traceability, auditibility).

The main objective of the TPPA workshop is to give a forum for the trust and privacy aspects and responsible application of process mining. Privacy and trust are important perspectives on process mining as it gets more widely used in organizations worldwide. We invite researchers and industry to share their research, ideas, experiences, and concerns in this area. The topics of interest for tis workshop, but not limited to, are provided below.

Workshop topics

  • Privacy-preserving methods for Process Analytics (Process Mining, Data Mining, Machine Learning)
  • Privacy-preserving Methods for Business Process Management
  • Privacy and Trust for Blockchains in Business Process Management
  • Privacy Engineering for Event Logs
  • Trust in Process Analytics
  • Privacy and Trust in Organizational Data Collection
  • Analysis of GDPR Compliance with Process Analytics
  • Methods and Techniques for Privacy and Trust Management in Process Mining
  • Responsible Process Analytics
  • Explainable Process Analytics
  • Data Quality, and Traceability in Process Analytics

Organizing Committee

  • Felix Mannhardt, SINTEF/ Norwegian University of Science and Technology (felix.mannhardt@sintef.no)
  • Agnes Koschmider, Kiel University
  • Nathalie Baracaldo, IBM Almaden Research Center

Please direct questions about TPPA to Felix Mannhardt.

Program committee (to be extended)

  • Luciano Garcia BaƱuelos, Tecnologico de Monterrey, Mexico
  • Olivia Choudhury, Amazon Inc.
  • Stephan Fahrenkrog-Petersen, Humboldt University of Berlin
  • Marwan Hassani, TU Eindhoven
  • Judith Michael, RWTH Aachen
  • Florian Tschorsch, Technical University Berlin
  • Melanie Volkamer, Karlsruhe Institute of Technology
  • Moe Wynn, Queensland University of Technology
  • Sebastiaan van Zelst, RWTH Aachen / FIT