Risikit
Risikit is a conceptual framework for risk assessment and decision support designed to handle uncertainty in complex, interdependent systems. The term combines "risk" with the idea of a modular toolkit, signaling a flexible set of components that can be adapted to different domains and scenarios.
Origins and usage context: The concept emerged in risk-management discussions in the 2010s and has since been
Design and components: Risikit envisions a layered structure consisting of data ingestion and governance, a suite
Methods and modeling: The framework supports probabilistic risk assessment, scenario analysis, Monte Carlo simulation, and Bayesian
Applications: Conceptually, Risikit is applied across engineering, finance, energy, public health, and policy planning. It is
Advantages and limitations: Proponents emphasize transparency, modularity, and cross-domain collaboration. Challenges include requiring high-quality data, ongoing
See also: risk management, uncertainty quantification, decision support systems, systems engineering.