Multi-paradigm Modelling for Policy-driven Socio-technical Systems

Today’s socio-technical systems, intertwined with fast-changing cyber-physical infrastructures, are becoming increasingly complex and must be able to cope with major unexpected events - e.g. health, economic and ecology crisis; digital innovation, pandemics, etc. As a result, these systems, which are governed by policies, experience rapid developments in their regulation requirements. In this context, traditional policy-making processes are slow relative to the present pace of changes they face, often leading to outdated inappropriate governance. We present a research plan for developing a highly configurable framework and set of tools to help policy making by providing support to better specify, analyse, monitor and assess socio-technical systems, taking into account governing policies and their impacts. The framework is inspired from model-based systems engineering approaches, which have been successful for Cyber-Physical Systems, to better formulate, characterise and analyse socio-technical systems and their governing policies. It makes use at its heart of Multi-Paradigm Modelling, to develop, reuse and integrate appropriate domain-specific modelling languages and tools, views and analyses to better address policy making of nowadays rapidly changing complex heterogeneous socio-technical systems.