Join us to learn how cross-survey modeling allows the U.S. Census Bureau to enhance the usefulness of federal data products by using machine learning to bridge the gap between surveys. This method uses data from one survey (typically a smaller survey with a rich set of items) to train a machine learning model to predict an outcome of interest. This webinar will discuss how this method was used to model a variable from the American Housing Survey to the American Community Survey.

Time: 2:00 - 3:00 p.m. ET