The OMILAB Node at the University of Vienna is a space to collaborate, innovate and engineer. Both a physical and virtual place, it is equipped with tools to explore method creation and design, experiment with method engineering and deploy software tools for modelling.

The work accomplished by the OMiLAB Vienna Node provides novel research results in the areas of Meta-Modelling, Semantic Technologies, Hybrid Method Engineering and Intelligent and Agile Agents.

The OMILAB node at JeonBuk National University in Korea works in the field of smart intelligent systems, including model-based verification support of complex environment and their simulation.

The OMiLAB Korea aims to initiate the Open Model Community in Korea, as well as, to expand this community to East and South Asia. The lab follows the notion and goals of the Open Models to realize the openness of the knowledge of mankind.

Hosted and Powered by Mines Saint-Etienne research centers, the French OMILAB Node is a collaborative platform for industrial and academics to develop together education material, proofs of concepts, and applied for research advances on digitalization and servitization for the industry of the future.

The OMiLAB node at the Lucian Blaga University of Sibiu focuses on modelling and simulation-based design, optimization of manufacturing systems and processes, and optimizing smart cities specific processes.

The OMiLAB@FHNW promotes the model-driven approach for the creation of ontology-based cyber-physical systems.

In the OMiLAB at the University of Rostock, we want to offer students and practitioners from the industry a more tangible approach to enterprise modeling.

The OMiLAB node at the Bialystok University of Technology is in the field of process management. It is hosted and powered by International Chair of Logistics and Service Engineering, Faculty of Engineering Management. The laboratory was established thanks to the cooperation with the Innovation and Development Promotion Centre (IDPC) the coordinator of Metal Processing Cluster (MPC).

The OMiLAB node at the University of Bergamo is in the field of service and manufacturing operations management, with particular reference to data-driven service operations and smart manufacturing.

The OMiLAB node at University of Oulu provides resources for quick prototyping of different robotic applications and facilitates interesting business cases to be solved via robotics.

The OMiLAB@HILTI explores modelling approaches for building software solutions that satisfy the needs of our customers and integration into customers value chains.

The Forschung Burgenland / University of Applied Sciences Burgenland OMiLAB Node is focusing on digitalisation research projects in the fields of Business Process Management, Cloud Computing, Cyber-Physical Systems and the Internet of Things.

The OMiLAB Node at the University of Camerino (OMiLAB@UNICAM) aims at fostering the encounter of students, researchers, professors, and practitioners in the sector of model driven engineering and IoT favouring the development and the put in practice of model driven engineering approaches.

The OMiLAB Node at Babeș-Bolyai University of Cluj-Napoca (UBB), Faculty of Economics and Business Administration (FSEGA), focuses on the operationalization of Purpose-Specificity Framework using domain-specific Knowledge Graphs as a technological enabler for digital innovation and automation.

The OMiLAB at University of Fribourg is integrated in the FabLab of the Department of Informatics. Application areas include for example new use cases for digitalization in smart environments, AR-supported maintenance and training or smart living scenarios. The attached learning lab offers room for creativity and innovation workshops.

The OMiLAB@HS Schmalkalden focuses on the creation of software tools that enable practitioners and scientists to flexibly design situation-specific QM methods that build on the potentials of conceptual modeling for documenting, communicating, and processing results.

The work of the OMiLAB@JOANNEUM RESEARCH Node provides new research results in the areas of Artificial Intelligence/Optimization, Semantic Service Technologies, and Intelligent Decision Support for use in the Edge-to-Cloud continuum.