Post #162

Can Forecasting Be Taught? Effective forecasting rests on two essential pillars: human judgment and computational modeling - what one might call brainware and software, or more simply, flesh and skeleton. Neither is sufficient on its own. It is their interaction that produces robust foresight. In our programs, the “flesh” is embodied by an international faculty of leading experts. Their disciplinary diversity fosters rigorous debate, critical reflection, and a form of structured collective intelligence that challenges assumptions and refines insight. This human expertise is paired with an analytical “skeleton”: - GeNIe Modeler, developed by BayesFusion. This technology is used by organizations such as RAND, Google, and multiple Ministries of Foreign Affairs across the English-speaking world. It enables participants to construct, test, and refine probabilistic models of complex systems. We have applied this tool extensively in our own forecasting work and are officially mandated by BayesFusion to integrate it into our training. What sets our programs apart is their strong practical orientation: Participants do not merely learn analytical frameworks - they actively build and stress-test models, bridging theory and application. The result is a distinctive learning experience that transforms analysis into actionable foresight.