Metaphorum 2026 · The World in Torment: A Time Whose Ideas Has Come

CyberSystemic Model Creation Protocol: AI-energy-climate-health governance case

This paper proposes the CyberSystemic Model Creation Protocol as a methodological approach for developing governance-oriented models in multi-domain transformation problems. It addresses situations in which technological, social, ecological, institutional, economic, and ethical issues interact and require traceable, revisable, and accountable governance support. A recursive six-phase protocol consisting of governance problem framing, model requirements extraction, interaction-interface specification, methodology allocation, model construction, and conceptual evaluation is proposed. The first three phases are elaborated and illustrated through the case of AI-energy-climate-health governance. The case examines AI both as a governed system that increases electricity, cooling, water, grid, investment, and regulatory pressure, and as a governance-supporting system for forecasting, coordination, scenario inquiry, and decision support. Findings: The illustrative application shows how a broad governance problem can be translated into a governance frame, governance goals, model requirements, and interaction-interface specifications. The interaction-interface phase uses the five viable-system model functions to identify interfaces for operations, coordination, control, intelligence, and policy. Each interface is linked to a required body of knowledge and to a knowledge-status assessment that distinguishes available, partial, weak, assumed, missing, and contested knowledge. The protocol contributes a methodological pathway from observing system properties toward designing governance-supporting CyberSystemic models. It helps avoid false holism by identifying knowledge gaps, weak evidence, assumptions, and contested areas visible before model construction. The paper is conceptual and illustrative. Further research should elaborate, implement, and validate the later protocol phases in empirical governance settings, especially methodology allocation, model construction, and conceptual evaluation across cases and contexts. Speaker: Igor Perko

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