The UCLA Data Equity Center (DEC) has launched a series of training courses for applying an equity lens to research and data projects. The series is designed to provide overviews and practical examples for implementation of each concept.

Presented by NORC at the University of Chicago, in collaboration with the UCLA Center for Health Policy Research, this training focuses on applying sample weighting techniques to improve the representativeness of survey data, covering design weights, nonresponse adjustments, and calibration methods, such as post-stratification and raking to ensure accurate generalizations of the sample results to population subgroups.

Housed at the UCLA Center for Health Policy Research, the DEC was launched in 2022 to focus on equity in all aspects of the design, collection, production, and dissemination of population health data. 

A shared learning and training hub for building fairness in data across all health-related sectors, the DEC provides technical assistance, expertise, and resources to increase the representation in and access to data for marginalized populations.

Learn more about the DEC.