 I'm Charlotte Luby and today I'll be presenting SynthTools and our package to measure synthetic data utility. What is SynthTools? SynthTools is a package with functions to aid in the quality control of partially and fully synthetic data for differential privacy purposes. Scenario, you have just created a fully or partially synthetic data set. How can SynthTools help you? First, use the data com function, which determines if the original and synthetic data sets have identical attributes such as dimensions, variable order and classification, and factor levels. This ensures that the synthetic data sets utility can be properly measured. Next, use the part rates function. This calculates overall and specific variable perturbation rates. SynthTools can be helpful to check early in the synthetic data creation process to ensure sensitive variables are adequately perturbed. If applicable, use the logic check function. This will indicate if there are any logical consistency issues between variables. For example, in Pennsylvania, a person cannot be married unless they are at least 17 years old and therefore should not have a value of marriage indicating that they are eligible to be married. Finally, use an appropriate confidence interval function. These functions calculate confidence intervals and standard errors of variables of interest. The comCI function is used for one continuous variable. The one catCI function is used for one categorical variable. And the two catCI function is used for the cross tabulation of two categorical variables. For more information about SynthTools or how to use these functions, please see the documentation pages provided in the SynthTools package. Thank you for your interest in SynthTools.