risikosyn

Risikosyn is a term used to describe an integrative framework for synthesizing risk information from diverse sources to support risk management decisions. It encompasses data collection from quantitative models, qualitative assessments, expert judgments, and historical records; it aims to produce a coherent risk profile and actionable guidance.

Origin and use: The term appears in theoretical and applied risk literature in the 21st century as a general concept rather than a fixed methodology. It is not associated with a single standard protocol, but rather with a family of approaches that share core principles: explicit treatment of uncertainty, cross-disciplinary data fusion, and transparent decision support.

Core concepts: risk synthesis, uncertainty propagation, scenario analysis, and prioritization. It emphasizes combining probabilistic risk assessment with scenario planning and decision analysis to identify dominant risk drivers and potential mitigation options.

Methodology: Typically involves (1) defining decision context and risk measures, (2) collecting diverse data, (3) harmonizing scales and units, (4) aggregating risks using probabilistic or ordinal methods, (5) performing uncertainty and sensitivity analyses, (6) presenting results with confidence, trade-offs, and recommended actions.

Tools and techniques: Bayesian networks, Monte Carlo simulation, Structured Expert Judgement, multi-criteria decision analysis, and fault tree or event tree methods may be employed within risikosyn workflows.

Applications: risk governance in finance, engineering projects, environmental planning, public health, and disaster risk reduction.

Critique and reception: Proponents argue it improves comparability and transparency; critics caution about subjective weighting, data quality, and communication challenges.

See also: risk assessment, risk management, decision analysis, uncertainty quantification.