Survey data science and reducing nonresponse bias

Probability surveys are an essential source of data for the public good. Not only are survey estimates valuable in their own regard for multiple purposes, but probability-based survey data can be crucial for making sense of big data, administrative records, and convenience samples. This is one of the reasons why we are now in the survey data science era. I will provide an overview of some developments, with an emphasis on approaches to reduce nonresponse bias through enhancing representativeness of samples, measurement, and improvements in statistical methods.

Seminars will be held weekly on Fridays 3:30 - 4:30 pm on Zoom. After the seminar, there will be a (virtual) meet-and-greet session to interact with the speaker. Please use the chat on Zoom to ask questions to the speaker. A moderator will collect questions throughout the talk and ask the speaker at appropriate times.