LEARNING PATH // READERS, EDUCATORS, RESEARCHERS, WRITERS, ANALYSTS, AND PUBLIC COMMUNICATORS
Learn to distinguish scenarios from forecasts, select model families, inspect scale, validate assumptions, trace provenance, and read maps without false precision.
Estimated total: 130 minutes
A public guide to reading simulations as bounded, versioned arguments rather than miniature realities or automatic forecasts.
/simulation-literacyA practical distinction among exploratory scenarios, probabilistic forecasts, observations, and policy decisions.
/simulation-literacy/scenarios-are-not-forecastsHow grid size, geography, time step, and update frequency determine what a simulation can reveal or conceal.
/simulation-literacy/spatial-temporal-scaleA comparative guide to four common model families and the kinds of heterogeneity, interaction, and uncertainty each preserves.
/simulation-literacy/agent-based-compartmental-and-cellular-modelsHow to tune a model, test it against evidence, and reveal which assumptions drive its conclusions.
/simulation-literacy/calibration-validation-and-sensitivityA traceable chain from source data and transformations to model version, scenario inputs, output, correction, and supersession.
/simulation-literacy/data-provenance-assumptions-and-versioningHow map projection, resolution, color, thresholds, borders, animation, and missing data shape what a reader believes.
/simulation-literacy/geospatial-visualization-without-false-precision