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1st Workshop on Trust and Privacy in Process Analytics (TPPA)

organized at the International Conference on Process Mining (ICPM)

 

5 October 2020, Padua

https://tppa-workshop.github.io/2020/

 

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Workshop description:

 

Process mining has been successfully applied in analyzing 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.

 

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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

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Important dates:

 

Submission of Workshop-Paper Abstracts: 18 August 2020

Submission of Workshop Papers: 25 August 2020

Workshop Day: 5 October 2020

 

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Organizing Committee:

 

Felix Mannhardt, SINTEF/ Norwegian University of Science and Technology

Agnes Koschmider, Kiel University

Nathalie Baracaldo, IBM Almaden Research Center

 

 

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Prof. Dr. Agnes Koschmider

Christian-Albrechts-Universität zu Kiel

AG Wirtschaftsinformatik (Process Analytics)

Hermann-Rodewald-Str. 3

24118 Kiel

Telefon: +49 431 880-6387