VIPRA

The 2025 Workshop on Visual Process Analytics (Vipra 2025) is the 2nd annual workshop that provides an opportunity for participants to discuss state-of-the-art event visualization and process mining and learn how both techniques can mutually benefit each other. In this workshop we aim to bring together researchers from both Visual Analytics and Process Mining, to learn, create a common language, spark collaborations, and advance both fields.

Process Mining is a data-driven discipline that focuses on extracting valuable insights and knowledge from the vast amount of event data generated within organizations. It involves the discovery, analysis, and improvement of process models by leveraging techniques from data science, machine learning, and data analytics. By examining event logs and historical data, process mining aims to provide a clear, objective view of how processes actually operate, identifying bottlenecks, deviations, and opportunities for optimization. In turn, this supports organizations in making more data-informed decisions, and enhance operational efficiency.

Visual analytics is an interdisciplinary field that combines data visualization, analytical techniques, and interactive interfaces to help people make sense of complex and often large datasets. It focuses on using the power of visual representations to facilitate data exploration, pattern recognition, and decision-making. By enabling users to interact with data through graphical interfaces, visual analytics promotes a deeper understanding of information, uncovers hidden insights, and supports the detection of trends, anomalies, and relationships that might be challenging to discern through traditional data analysis methods alone.

Workshop topics include, but are not limited to:

• VA to support exploration and comparison of discovered process models
• VA to support the comparison of event logs and process models, e.g., in conformance checking
• VA to support the generation of hypotheses about the business process and the identification of process improvement ideas

Paper Format, Publication, and Submission Guidelines

We will accept short papers with up to 8 pages and regular papers with up to 15 pages. We encourage a diverse range of submissions and topics in any of the paper types listed below:

• Regular papers (LNBIP, 12-15 pages)
• Short papers (LNBIP, 6-8 pages)

All material will be submitted via the BPM 2025 EasyChair submission site.

Selected accepted papers will be included in the conference proceedings and assigned a DOI as fully citable publications.

All submission must comply with the Springer LNCS formatting guidelines.

Selected accepted regular and short papers will be published by Springer as a post-workshop proceedings volume in the series Lecture Notes in Business Information Processing (LNBIP). At least one author of each accepted paper must register and participate in the workshop.
Contact vipra.workshop [at] gmail.com if you have any questions.

Han van der Aa, University of Vienna
Anti Alman, University of Tartu
Christian Tominski, University of Rostock
Daniel Schuster, RWTH Aachen University
Inge van de Weerd, Utrecht University
Barbara Weber, University of St. Gallen
Andrea Burattin, Technical University of Denmark
Bedilia Estrada Torres, University of Seville
Maria-Cruz Villa-Uriol, The University of Sheffield
Pnina Soffer, University of Haifa