ICEUR’s methodology is designed for working with uncertainty, incomplete data, and complex interdependent processes.
It is grounded in analytical and scenario-based thinking that allows expert assessments to be formalized and translated into well-founded, traceable conclusions.
At the core of this approach is
GeNIe 5.0 — a professional Bayesian modeling environment used as an
analytical framework onto which expert knowledge and judgments are systematically integrated.
Within the learning process, GeNIe brings together expertise from diverse fields — political science, economics, geopolitics, demography, as well as first-hand professional experience from work in crisis and conflict environments.
This enables heterogeneous information to be structured within a single model, relationships between factors to be explored, and the impact of changes in one domain on the broader system to be clearly understood.
This approach ensures that analytical conclusions are:
- transparent
- reproducible
- explainable to leadership, colleagues, and partners
and suitable for real institutional and professional use.
Key elements of the ICEUR methodology- GeNIe 5.0 as an analytical framework for expert assessments
- Integration of expertise across multiple disciplines
- Scenario-based and probabilistic analysis
- Linking analytical reasoning with practical experience