Visual Analytics
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.
Process Mining
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.
(Short) Paper types
- Application/Case-study papers (5+1)
- Research papers (5+1)
- Position papers and system demos papers (2+1)
Important Dates
- Deadline for submission:
March 1st, 2024March 8th, 2024 - Notification of acceptance: April 12th, 2024
- Vipra 2024 Workshop:
May 27th, 2024
Call For Papers
We encourage submissions from all areas on the intersection of visual analytics and process mining.
The 2024 Workshop on Visual Process Analytics (Vipra 2024) is the 1st 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.
We believe that process mining and visual analytics can mutually benefit each other. Until now, there has been limited interaction between the two fields, despite their shared objectives. In process mining, the emphasis has traditionally been on data extraction and process discovery, often neglecting the visualization aspect, whereas in visual analytics, event visualization efforts have often overlooked the wealth of process mining techniques that can enhance visualizations and analysis. Bridging this gap and fostering collaboration between the two fields will not only lead to more informed, efficient, and data-driven improvements in various domains but also advance the research and innovation in both process mining and visual analytics, ultimately contributing to a more holistic and integrated approach to understanding and optimizing complex processes.
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
- VA to represent temporal and spatial uncertainty in PM models
- Research challenges, pitfalls, and opportunities related to the intersection of VA and PM
- The role of AI in PM, and how Visualization and explainable-AI solutions can support model comprehension, exploration, and refinement
For Submitters
Looking to Submit your work at VIPRA? Here you will find all the information you need.
Paper Format, Publication, and Submission Guidelines
We will accept short papers with up to 5 pages plus one page of references (5 + 1). We encourage a diverse range of submissions and demonstrations in any of the short paper types listed below:
- Application/Case-study papers (format: 5 + 1)
- Research papers (format: 5 + 1)
- Position papers and system demos papers (format: 2 + 1)
Accepted papers will be included in the Eurographics Digital Library and assigned a DOI as fully citable publications.
For all submissions, please use the EuroVis 2024 LateX2e Style. On Overleaf, this template can be imported easily by selecting "New Project" -> "Upload Project" and uploading the zip file. Use EGAuthorGuidelines-eurovis24-short.tex for your submission.
Contact vipra.workshop [at] gmail.com if you have any questions.
Important Dates
All submission deadlines are at 23:59 GMT on the date indicated.
- Deadline for submission: March 8th, 2024 (deadline extended)
- Notification of acceptance: April 12th, 2024
- Vipra 2024 Workshop: May 27th, 2024 (in conjunction with EuroVis 2024)
International Program Committee
Names and affiliations of the workshop program committee.
Iris Beerepoot, Utrecht University
Andrea Burattin, Technical University of Denmark
Francisco Maria Calisto, University of
Jan Mendling, Humboldt-Universität zu Berlin
Velitchko Filipov, Technical University of Vienna Katerina Vrotsou, Linköping University
Barbara Weber, University of St. Gallen
Manuel Resinas, University of Sevilla
Sebastian Van Zelst, Celonis Labs - München
Catagay Turkay, University of Warwick
Daniel Schuster, Fraunhofer FIT - University of Aachen
Davide Ceneda, Technical University of Vienna
Pnina Soffer, University of Haifa
Christian Tominski, University of Rostock
Mari-Cruz Villa-Uriol, University of Sheffield
Davide Ceneda, Technical University of Vienna
Max Sondag, University of Konstanz
David Gotz, University of North Carolina at Chapel Hill
Organizing Committee
The people behind VIPRA organization.
Stef van den Elzen
Asst. Prof. at TU Eindhoven
Alessio Arleo
Asst. Prof. at TU Eindhoven
Tatiana von Landesberger
Associate Prof. at Univ. of Cologne
Jana-Rebecca Rehse
Junior Prof. at Univ. of Mannheim
Francesca Zerbato
Senior Researcher at Univ. of St. Gallen
Luise Pufahl
Prof. at Univ. of München