OMiLAB-KNOW is a recurring workshop series focused on domain-specific conceptual modeling methods and tools in the context of Business Informatics Research. Building on previous editions, it continues the OMiLAB mission of advancing model-driven value creation through openness, interdisciplinarity, as well as community-based collaboration and knowledge exchange. The primary goal of the workshop series is to stimulate discussion on the requirements, design decisions, tooling, utilization, and evaluation of artifacts related to domain-specific conceptual modeling, as showcased by the various areas covered within publications from the network. The broader objectives aim to facilitate the realization of model-driven support through open frameworks and interdisciplinary innovation across various domains.

It is expected that workshop contributions report on experiences and achievements from the global OMiLAB Network of Nodes and the extended Community of Practice that utilize the underlying, distributed Digital Innovation Environment. Such experience can also encompass results and lessons learned from recent research and innovation projects, as well as domain-specific experimental results, targeting innovative solution design using model-based approaches and beyond.

While the workshop is initiated by the OMiLAB community, it also welcomes participation from researchers and educators not yet involved in the network. In particular, anyone active in relevant fields such as domain-specific modeling, innovation infrastructures and processes, enterprise modeling, knowledge engineering, and interdisciplinary knowledge management, with an interest in the value of model-driven system design, is invited to contribute. This approach opens up the opportunity for exchanging ideas with other modeling-centric communities to account for the diverse views on modeling challenges and best practices.

Consistent with ongoing research projects and previous workshop editions, the scope of OMiLAB-KNOW extends to the integration of conceptual modeling into education, professional training, and related teaching experiences. Moreover, recent developments highlight the need for considering Digital Wellbeing in the context of conceptual modeling. This novel field explores how model-driven approaches, tools, and collaborative practices can be designed to enhance cognitive, social, and digital wellbeing for individuals and communities engaged in conceptual modeling.

Given these considerations, submission types may span various research stages, from novel findings to practical experience reports and position papers. Therefore, both empirical experimentation insights and design-oriented research are welcome. Specifically, we encourage young researchers to share their findings and work-in-progress results.

Relevant Topics

• Domain-specific modeling languages for business informatics
• Integration of domain-specific modeling with Artificial Intelligence
• Model-driven approaches for low-code and no-code engineering
• Requirements engineering, design, and evaluation of conceptual modeling methods
• Engineering, deployment, and lifecycle management of modeling methods
• Enterprise and ecosystem modeling, including enterprise architecture
• Modeling tools, platforms, and extensibility
• Transformations from conceptual models to knowledge graphs and digital twins
• Model-driven engineering and value creation through model-based artifacts
• Applications, use cases, and experience reports demonstrating model value
• Empirical research on modeling practices, quality, and effectiveness
• Educational approaches, teaching cases, and training in conceptual modeling
• Wellbeing-aware conceptual modeling and digital wellbeing
• Human-centered and socio-technical perspectives on model-driven systems
• Communities of practice and collaborative modeling ecosystems

Paper Submission

We invite two types of paper contributions:

• Full papers: regular research or experience papers (10-12 pages)
• Short papers: position or vision papers (6-9 pages)

Submissions should follow the BIR 2026 workshop guidelines and use the CEURART 1-column template available at https://ceur-ws.org/HOWTOSUBMIT.html#FAQ.

All accepted papers must be presented in person by at least one registered author. Participants may inquire about funding opportunities through the OMiLAB initiative for Advancing Young Researchers and Innovators (YRI).

Workshop Chairs

• Evangelia Kavakli (kavakli@aegean.gr), University of the Aegean, Greece
• Wilfrid Utz (wilfrid.utz@omilab.org), OMiLAB NPO, Germany