Sponsored by IFIP WG8.1 (International Federation for Information Processing Working Group 8.1)
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Picture copyright: Arne Müseler / www.arne-mueseler.com
The BPMDS working conference, sponsored by IFIP WG8.1, has been a fertile ground for influential research and a catalyst for pioneering developments in business process modeling and support. This year, we reaffirm our commitment to fostering cutting-edge research and facilitating robust discussions that shape the future of business processes.
Recognizing the evolving nature of our field, we introduce innovations to the submission process designed to enhance participation and engagement. We invite contributions ranging from completed research papers to idea papers. We encourage submissions that not only reflect on the established foundations of BPMDS, but also explore new paradigms, methodologies, and applications. Whether through the lens of AI and machine learning, process mining, human-centric approaches, or the implications of digital assistants such as ChatGPT, we seek to reflect the dynamic and diverse nature of our community.
BPMDS welcomes submissions on a broad range of topics, that include, but are not limited to:
Process Mining and Data-Driven BPM: Discussing techniques and tools to obtain process-related information from event logs, including process discovery, conformance checking, and enhancement.
AI and Machine Learning in BPM: How are artificial intelligence and machine learning being used to improve any facet of the BPM?
Assistants and BPM: Exploring how assistants such as ChatGPT impact BPM.
Advancements in Business Process Modeling: Exploring the latest developments, including new symbols, semantics, and modeling approaches.
Platforms and BPM: Joining innovation and transaction with business process management.
Case Studies on BPM in Different Industries: Sharing practical experiences and insights from applying BPM in sectors such as healthcare, finance, manufacturing, and services.
Human-centric BPM: Focusing on the role of human judgment and interaction in BPM and how to better integrate human factors.
BPM for Sustainability: Leveraging BPM to support sustainable business practices and the development of green business processes.
Regulatory Compliance and BPM: Addressing how business process modeling or BPM in general can aid in achieving and maintaining regulatory compliance.
Future Trends in BPM: Predicting future directions of BPM research, including potential disruptive technologies and methodologies.
BPM Education and Training: Best practices for teaching and training professionals in business process modeling, development, and support.
Evaluation and Benchmarking of BPM Tools: Providing insights into the evaluation of BPM tools and methodologies, including comparative studies and benchmarking.
We invite completed research papers that fit within the broad range of topics described above. Submissions should adhere to the LNBIP formatting instructions at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines. Paper should not exceed 14 pages (excluding references), but including all text, figures, and appendices. BPMDS uses a single-blind review system, so author details can be included in the submission. Submissions not conforming to the formatting instructions, the page limitations, or that are obviously out of the scope of the conference, will be rejected without review. The results described in the submitted paper must be unpublished and must not be under review elsewhere.
Submissions should be made through the CAISE 2026 EasyChair (select BPMDS 2026 as the track): https://easychair.org/my/conference?conf=caise2026
From the accepted completed research papers, a selection will be invited to submit an extended version to a special collection of the Process Science Journal.
BPMDS encourages authors of research papers to follow the principles of transparency, reproducibility, and replicability. In particular, the conference supports the adoption of open data and open source principles and encourages authors to disclose (anonymized and curated) data in order to increase reproducibility and replicability.
Authors are encouraged to make research artefacts (e.g., prototypes, interview protocols, questionnaires) or the datasets (used in, or produced by, the empirical evaluation) reported in the paper available in a suitable form. To facilitate this, we kindly ask authors to include links in their manuscripts to private or public repositories where reviewers can access the associated research artefacts. This information may be presented in a dedicated section, such as “Data availability” or “Reproducibility”. This requirement does not apply to papers that neither involve an empirical study nor a prototype implementation.
Authors who are unable or choose not to share their research artefacts and datasets with the program committee are encouraged to provide an explanation within their submitted manuscript, detailing the reasons behind their decision. This statement may be removed from the final version of the paper if it gets accepted. Possible reasons may involve privacy restrictions or non-disclosure agreements.
To enhance the accessibility of research artefacts and datasets, authors are advised to make them accessible via public repositories (e.g., Zenodo, Figshare, GitHub, or institutional archives) under an open data license such as the CC0 dedication or the CC-BY 4.0 license. Making research artefacts and datasets available via cloud services such as Dropbox or Google Docs is discouraged due to the volatility of the links associated with these services.
Finally, authors are encouraged to self-archive their pre- and post-prints in open, preserved repositories, such as their institutional preprint repository, arXiv or other non-profit services, in line with Springer’s copyright agreement (see “License to Publish form for LNCS, CCIS or LNBIP”, §3, available at https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).
● Abstract submission deadline: February 27, 2026
● Paper submission deadline: March 6, 2026 (strict!)
● Notification for authors: April 8
● Camera-ready deadline: April 15
● Conference: June 8 to 9, 2026 in Verona, Italy
All deadlines are 23:59, AoE
Organizers
Luise Pufahl, Technical University of Munich
Han van der Aa, University of Vienna
Steering Committee
Selmin Nurcan, University Paris 1 Panthéon Sorbonne
Rainer Schmidt, Munich University of Applied Sciences
Pnina Soffer, University of Haifa
Program Committee
Judith Barrios Albornoz, University of Los Andes
Iris Beerepoot, Utrecht University
Rob Bemthuis, University of Twente
Faiza Bukhsh, University of Twente
Marco Comuzzi, Ulsan National Institute of Science and Technology
Carl Corea, University of Koblenz
Djordje Djurica, Vienna University of Economics and Business
Irene Vanderfeesten, KU Leuven
Andreas Fritsch, Karlsruhe Institute of Technology
Amin Jalali, Stockholm University
Martin Kabierski, University of Vienna
Timotheus Kampik, SAP, Umeå University
Alexander Kraus, University of Mannheim
Sander J.J. Leemans, RWTH Aachen
Henrik Leopold, Kühne Logistics University
Amy Van Looy, Ghent University
Xixi Lu, Utrecht University
Niels Martin, Hasselt University
Jan Mendling, Humboldt-Universität zu Berlin
Giovanni Meroni, Technical University of Denmark
Selmin Nurcan, Université Paris 1 Panthéon - Sorbonne
Sebastian Petter, University of Bayreuth
Adrian Rebmann, SAP Signavio
Jana-Rebecca Rehse, University of Mannheim
Michael Rosemann, Queensland University of Technology
Stefan Schönig, University of Regensburg
Ronny Seiger, University of St.Gallen
Johannes De Smedt, KU Leuven
Pnina Soffer, University of Haifa
Francesco Tiezzi, Università di Firenze
Jochen De Weerdt, KU Leuven
Karolin Winter, Eindhoven University of Technology
Francesca Zerbato, Eindhoven University of Technology