Series G establishes the computational laboratories of the Institute. Through simulation environments, digital twins, systems dynamics and agent-based modelling, it creates experimental platforms for exploring institutional behaviour under controlled conditions. These environments allow researchers to investigate alternative governance architectures, analyse complex adaptive systems and evaluate future scenarios before they emerge in practice.
Research Lines
G1 — Institutional Digital Twins
G2 — Governance Simulation Platforms
G3 — Multi-Agent Governance Models
G4 — Scenario Generation and Strategic Foresight
G5 — Computational Experimentation
WP-G-L02-001 — Governance Cognitive Simulation Architecture
Governance simulation has traditionally focused upon the consequences of policy interventions within economic, social, environmental or infrastructural systems. These approaches remain indispensable, but they often represent the cognitive processes through which institutions perceive problems, integrate knowledge, interpret uncertainty, coordinate actors, exercise judgement and learn from feedback only indirectly or not at all. Institutional Cognition introduces...
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WP-G-L01-001 – Digital Twins for Governance
This new IDHUS Working Paper develops the first comprehensive theory of Institutional Cognitive Digital Twins, proposing a fundamental reconceptualisation of Digital Twins beyond their traditional role as computational representations of physical systems. While conventional Digital Twins primarily support monitoring, optimisation and predictive maintenance, in this paper we argue that governance requires an entirely different class...
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