Preface to 7th International Workshop on Multi-Level Modeling (MULTI 2020)

Multi-level modeling (MLM) represents a significant extension to the traditional two-level object-oriented paradigm with the potential to dramatically improve upon the utility, reliability, and complexity of models. Different from conventional approaches, MLM allows for an arbitrary number of classification levels and introduces further concepts that foster expressiveness, reuse, and adaptability. A key aspect of the MLM paradigm is the use of entities that are simultaneously types and instances, a feature which has consequences for conceptual modeling, language engineering, and for the development of model-based software systems.The objectives of the MULTI series are to provide a forum for the MLM community to address the foundations of MLM approaches and to support future modelers through better modeling languages, tools, methods, and guidelines. The workshop encouraged the presentation of case studies and tool demonstrations in addition to submissions on new concepts, implementation approaches, formalisms, controversial positions, and requirements for evaluation criteria.