Scientific Modeling
Preliminary / analysis-support scientific modelling: model formulation support, variable / parameter structure review, scenario-simulation framing, assumption / sensitivity summary, model comparison memo, and conceptual validation / limitation review. PRELIMINARY ONLY — not a substitute for a domain scientist, research-grade simulation (CFD / MD / climate / epidemiological / PK), laboratory validation, or regulated / publishable scientific modelling.
Model Formulation Support
StandardStructured formulation scaffold (objective, boundary, scale, state variables, governing principles, closures, BCs/ICs, parameters, data availability, limitations). Scaffold — not an executable model.
⏱ 3-6 minutes
Variable / Parameter Review
StandardStructural review of declared variables / parameters for units, ranges, nominal values, and sources. Flags missing units, missing ranges, inconsistent ranges, nominal-out-of-range, and no-source entries. Not an identifiability analysis.
⏱ 3-6 minutes
Scenario Simulation Framing
StandardScenario-structure audit (severity coverage, driver diversity, time-horizon span). Flags missing optimistic / pessimistic / stress extremes and single-horizon sets. Audit only — simulations are NOT executed.
⏱ 3-6 minutes
Assumption / Sensitivity Summary
StandardQualitative memo on declared assumptions (basis × impact-if-wrong) and sensitivities (elasticity × method). Does NOT execute Sobol / Morris / Bayesian sensitivity — prefer a dedicated toolchain for numerical sensitivity.
⏱ 3-6 minutes
Model Comparison Memo
StandardQualitative multi-criteria comparison of candidate models (fidelity × runtime-cost × data-need × known-fit). Framing memo — selection requires domain-scientist judgement and a validation study.
⏱ 3-6 minutes
Conceptual Validation Review
StandardClaim × evidence-tier × applicability-range review. Conceptual validation, NOT empirical validation — lab / experiment check is still required before high-stakes use.
⏱ 3-6 minutes