1st Workshop on Model Hybridization for Digital Twins
The 1st 1-Week Workshop on Model Hybridization for Digital Twins at the Bellairs Research Institute of McGill University in Holetown, Barbados, is taking place from Friday, February 21st, 2025 to Friday, February 28th, 2025 with a special emphasis on the use of different forms of models (e.g., analytical models and machine learning models) in the context of digital twins.
Digital twins promise tremendous potential for gaining insights, optimize operations, and improve decision-making for cyber-physical systems across various industries, including manufacturing, healthcare, transportation, and more. Recent developments show that MDE can play a central role in systematically leveraging the potential of digital twins, and many researchers from the MDE community have applied MDE technology to build digital twins in recent years.
In the future, the predictive capabilities of digital twins will be leveraged for dynamically evolving eco-systems to address challenges such as sustainability at a much more complex scale. To this aim, techniques for the coordinated use of heterogeneous descriptive and prescriptive models need to be elaborated, and the propagation of uncertainty across digital twin boundaries investigated, leading towards the definition of interfaces for DT composition and a unifying theory for inductive and deductive reasoning.
The modelling-related Bellairs workshop series have traditionally had a strong focus on software composition and modularity (aspect-oriented modelling (2010, 2011, 2012, 2013), concern-oriented modelling (2015, 2017), interfaces for software reuse (2018), polyglotism (2023), digital twins composability (2024)), but also on the interplay of data and models (data and models (2019, 2020), feedback-driven decision making (2022)). We therefore want to dedicate the upcoming Bellairs workshop on investigating the hybridization of different forms of models (e.g., analytical models, architecture models, machine learning models) for digital twins.
We expect the workshop to be highly interactive and open-minded, with the main objective to reflect on the combination of different forms of models in complex scenarios for digital twins.