Session 9
Detecting weak signals and emergent trajectories.
This session matters because strategic forecasting depends on distinguishing genuine emergence from noise. It builds on topic models and clustering by adding novelty, growth, and burst indicators. Students triangulate signals across sources to avoid single-metric bias. They produce an emergence scoring sheet and a preliminary dashboard of candidate topics. Skills developed include signal scoring, burst detection, and evidence triangulation. The emergence outputs feed directly into growth-curve reasoning and scenario work.
Submission for this session
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Session 8: Topic Modeling and Clustering
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Session 10: Growth Curves and Forecasting Logic