*Call for Papers* The 8th International Workshop on Multi-Level Modelling - MULTI2021 https://jku-win-dke.github.io/MULTI2021/ *Important Dates* Paper Submission: 22nd July 2021 Authors Notification: 21st August 2021 Camera-ready Papers: 28th August 2021 Workshop (online): 10th or 11th or 12th October 2021 Conference website: https://jku-win-dke.github.io/MULTI2021/ Submission link: https://easychair.org/conferences/?conf=multi2021 *Description* Multi-level modeling (MLM), or deep metamodeling, represents a significant extension to traditional object-oriented modeling with the potential to dramatically improve upon the utility, reliability and complexity of models. In contrast to conventional approaches, they allow for an arbitrary number of classification levels and introduce other concepts that foster expressiveness, reuse and adaptability. A key aspect of the multi-level modeling paradigm is the use of entities that are simultaneously types and instances, a feature which has consequences for conceptual data 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 multi-level modeling community to address the foundations of multi-level modeling approaches and to support future multi-level modelers through better DSMLs, tools, methods and guidelines. The workshop encourages the presentation of case studies and tool demonstrations. Furthermore, a challenge is organized which is aimed at comparing different approaches to multilevel modeling. The challenge description is available on the workshop website. Topics include, but are not limited to: - the nature of elements in a multi-level hierarchy and how best to represent them, - fundamental aspects of MLM such as composition and decomposition, - experiences and challenges in providing tool support for multi-level modeling, - experiences and challenges in applying MLM to large and/or real-world problems, - model management languages (transformation, code generation etc.) in a multi-level setting, - criteria and approaches for comparing multi-level modeling approaches, - integration of modelling and programming languages in a multi-level setting, - definition and analysis of behavioral semantics in a multilevel setting, - design patterns addressing when and how to apply multi-level metamodelling, - multi-level modeling of AI systems (knowledge graphs, machine learning), and - multi-level conceptual data modeling. *Submission Guidelines* All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - regular papers (10 pages) - challenge papers (10 pages) - position papers (5 pages) Authors submit their papers as PDF files via Easychair. Accepted papers will be included in the joint workshop proceedings published by the IEEE. *Steering Committee* - Colin Atkinson (University of Mannheim, Germany) - Thomas Kühne (Victoria University of Wellington, New Zealand) - Juan de Lara (Universidad Autónoma de Madrid, Spain) *Organizing committee* - Victorio Albani Carvalho
(Federal Institute of Espírito Santo, Brazil) - Gergely Mezei (Budapest University of Technology and Economics, Hungary) - Bernd Neumayr (Johannes Kepler University Linz, Austria) For further information please do not hesitate to contact the organizing committee.