Loading
Loading
Review of Case Materials
Reviews records, documents, testimony, data, and other relevant materials and consults with counsel regarding technical issues related to the matter.
Provide Expert Analysis
Applies specialized knowledge and experience to evaluate the technical or professional issues involved.
Form Expert Opinions
Develops independent, supportable opinions based on the available evidence and relevant standards.
Prepare Expert Reports
Showing Results 0 of 0
The expert can trace the calculation from its inputs through the formulas, assumptions, transformations, and numerical procedures used to produce the final result. This may involve independently reproducing the calculation, checking units and mathematical logic, identifying transcription or formula errors, and testing whether the stated result follows from the supplied inputs. When software performs the calculation, the review may also require examining how the mathematical method was implemented.
A model can be examined for its equations, inputs, assumptions, computational implementation, intended use, and sensitivity to changes in key variables. Verification asks whether the computational implementation correctly solves the underlying mathematical model, while validation examines how well the model represents the relevant real-world system for its intended purpose. Those are distinct questions, and a model should not be described as universally valid without regard to its intended application.
Uncertainty quantification examines how uncertainty in model inputs, assumptions, measurements, numerical methods, or other sources affects the calculated result or prediction. Rather than reporting only one numerical output, the analysis may examine a range or distribution of plausible results and identify which sources of uncertainty have the greatest effect. The National Academies specifically recommends documenting assumptions and evaluating the sensitivity of predictions to important uncertainties and judgments.
Sensitivity analysis examines how a result changes when selected inputs, assumptions, or modeling choices are varied. It can reveal whether the conclusion is relatively stable or whether a modest change in a key assumption produces a materially different outcome. This can be especially useful when competing experts rely on different parameter values or modeling judgments. The National Academies identifies sensitivity to assumptions and sources of uncertainty as an important part of evaluating complex model predictions.
Prepares clear, well-supported expert reports outlining methodology, analysis, findings, and opinions.
Provide Deposition Testimony
Explains findings and opinions under oath and responds to questioning during deposition testimony.
Testify in Court
Presents specialized findings and opinions clearly to judges, juries, arbitrators, or other decision-makers.
Mathematics may establish whether equations, calculations, models, or algorithms are internally sound without resolving every subject-specific question. A model concerning physical motion may also require Physics expertise; actuarial calculations may require Actuarial expertise; economic assumptions may require Economics; and data-intensive computational work may call for Data Science or Computer Science. NIST similarly describes applied mathematical modeling as multidisciplinary work used across physical, biological, engineering, and information-system applications.