Prof. Hans-Georg Heinrich. This lecture continues the Mission Ready series and focuses on the practical use of
GeNIe 5.0 and QGeNIe for analytical work in international field missions, where uncertainty, incomplete data, and operational pressure are the norm. Building on the conceptual foundations introduced earlier, the session moves decisively from theory to hands-on modeling. Participants learn how to construct and expand Bayesian models step by step, starting with simple structures and gradually introducing complexity through additional variables, noise, and causal dependencies.
A key part of the lecture is devoted to qualitative modeling with QGeNIe, showing how analysts can work effectively even when reliable numerical data is unavailable. Using real mission-relevant examples — such as compliance in post-conflict disarmament, corruption risks, demining operations, and conflict escalation — the lecture demonstrates how causes, barriers, and requirements can be translated into structured analytical models.
The session also introduces dynamic Bayesian networks, explaining how time, feedback loops, and trajectories can be incorporated into forecasting and scenario analysis. Rather than aiming at precise prediction, the focus remains on decision support, scenario testing, and becoming less wrong in complex environments.
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Topics covered: - Practical model building in GeNIe 5.0
- Chance nodes, CPTs, and managing uncertainty
- Decision and utility nodes for choice analysis
- Qualitative modeling with QGeNIe
- Corruption, compliance, and demining case studies
- Handling noise and complexity in real-world models
- Dynamic Bayesian networks and temporal effects
- Scenario testing and interpretation of results