This third volume of the book series "Domain-Specific Conceptual Modeling" presents new application cases for domain-specific modeling languages and for the engineering of modeling languages and tools. All cases use the ADOxx metamodeling platform or toolkits from the Digital Innovation Environment, shared by the OMiLAB Community of Practice and available for open use. Through this platform, participants can share ideas and engage in an exploration process regarding model-based decision making, augmented intelligence, or model-driven systems engineering.

All reported cases originate from research initiatives but are also suitable for teaching, demonstrations, or experimentation tooling that can be further expanded to better grasp the benefits of metamodeling and scripting of model-based functionalities. Each chapter result is elevated with the possibility to download the modeling tool and practically apply the theoretical concepts through case studies and examples provided by the author. In addition to describing novel domain-specific languages or language extensions for diverse purposes and levels of specificity, the book offers detailed instructions on how to build models in a particular application domain - including the management of Internet of Things facilities, decentralized governance, intelligence augmentation, and digital nudging strategies.

Overall, the collection of works presented here will benefit experts and practitioners from both academia and industry, including members of the conceptual modeling community, as well as lecturers and students.

This third volume of the book series "Domain-Specific Conceptual Modeling" presents new application cases for domain-specific modeling languages and for the engineering of modeling languages and tools. All cases use the ADOxx metamodeling platform or toolkits from the Digital Innovation Environment, shared by the OMiLAB Community of Practice and available for open use. Through this platform, participants can share ideas and engage in an exploration process regarding model-based decision making, augmented intelligence, or model-driven systems engineering.

All reported cases originate from research initiatives but are also suitable for teaching, demonstrations, or experimentation tooling that can be further expanded to better grasp the benefits of metamodeling and scripting of model-based functionalities. Each chapter result is elevated with the possibility to download the modeling tool and practically apply the theoretical concepts through case studies and examples provided by the author. In addition to describing novel domain-specific languages or language extensions for diverse purposes and levels of specificity, the book offers detailed instructions on how to build models in a particular application domain - including the management of Internet of Things facilities, decentralized governance, intelligence augmentation, and digital nudging strategies.

Overall, the collection of works presented here will benefit experts and practitioners from both academia and industry, including members of the conceptual modeling community, as well as lecturers and students.