Empirical Research in Process Mining (ERPM)

Empirical Research in Process Mining

The area is currently delving into different aspects of process mining, including carrying out qualitative and quantitative research on how people interact with process mining tools, as well as examining how process mining influences the organizational structure, culture, and management.

Types of Submissoins

Research papers (12 pages)
Lessons Learned extended abstracts (1 page)

Important Dates

Abstract Submission: July 18, 2025
Papers Submission: July 25, 2025
Paper Acceptance Notification: August 22, 2025
Pre-workshop Camera-Ready Papers: September 22, 2025
Workshops: October 20, 2025
Post-workshop Camera-Ready Papers: November 4, 2025

Call For Papers

2nd Workshop on Empirical Research in Process Mining (ERPM)

We are excited to announce the 2025 Workshop on Empirical Research in Process Mining, which will bring together various aspects of empirical process mining research.

Process mining has experienced significant advancements in recent years, evolving into a robust field focused on developing sophisticated algorithms. These developments have been pivotal in automating the extraction of process models from event logs and evaluating the conformity of actual operations to pre-defined models. The use of metrics such as precision and recall has become standard in assessing the technical accuracy of these algorithms. This technical progress has led to a heightened focus on the quantitative aspects of process analysis, often overshadowing other equally important dimensions.

However, an emerging area of research within the process mining community is gaining momentum, characterized by its empirical nature. This new direction recognizes the multifaceted aspects of process mining, moving beyond a sole focus on algorithmic development and technical accuracy. The field is now exploring various dimensions of process mining, such as conducting qualitative and quantitive studies on human-computer interactions with process mining tools or organizational dimensions studying the effects of process mining on organizational structure, culture, and management.

Workshop topics include, but are not limited to:

Qualitative Studies in Process Mining: Exploring in-depth studies (such as case studies, observational studies, and user studies…) and their unique insights and challenges into process mining applications.
Quantitative Analysis of Process Mining Impact: Investigating the measurable effects of process mining on business efficiency, compliance, and performance.

Human-Centric Process Mining Approaches: Examining the role of human interaction (end-users, process analysts, and other stakeholders) and intervention in the process mining lifecycle. For example, methodologies and approaches used in process mining projects, including best practices, common challenges, and strategies for effective analysis.
Organizational Impact Studies: Studying the effects of process mining on organizational structure, culture, and workflow management.

We welcome additional topics that align with the empirical exploration of process mining, aiming to broaden the scope and depth of the discussions in this workshop.

Submission Info

Looking to Submit your work at ERPM? Here you will find all the information you need

Paper Format, Publication, and Submission Guidelines

We will accept two types of submissions:

Regular paper submissions in English, up to 12 pages (including figures, bibliography, and appendices), and following Springer LNCS/LNBIP guidelines.

Authors should clearly outline the paper's relevance to the workshop topics, specifying the addressed problem, goals, achieved results, and its relation to existing research.

Lessons learned submissions up to 1 page in the form of extended abstract

Authors should clearly outline the paper's relevance to the interactive session of the workshop and focus on sharing successes, challenges, and ``failed experiments'' to provide the audience with a comprehensive overview of best practices and pitfalls in the field of empirical research in process mining.

All the submissions must be made through the Easychair system

Accepted regular papers will be published by Springer in the Lecture Notes in Business Information Processing (LNBIP) series.

Lessons learned submissions will not be featured in proceedings.

Contact erpm.workshop [at] gmail.com if you have any questions.