[Assess graduate students' ability to interpret, quantify, and communicate uncertainty in interdisciplinary environmental risk assessments. Items will test knowledge of uncertainty types and sources (epistemic, aleatory, model, scenario), methods for characterization and propagation (sensitivity analysis, Monte Carlo, Bayesian approaches), evaluation of uncertainty visualizations (confidence intervals, density plots, ensemble displays), translation of quantitative uncertainty into clear probabilistic and qualitative messages for diverse stakeholders, and consideration of ethical and disciplinary integration challenges.]