Abstract
This talk will provide a social survey statisticians perspective on (differential) privacy. It is structured in four parts. The first part covers typical social science research questions and data types used to answer such questions. The second part provides a survey of typical data analyses techniques and typical work streams social scientists engage in when analyzing data. The third part explains in more detail a typical data collection and how design decisions will be affected if the field moves forward with differential privacy. I will close with some thoughts about unanticipated side effects and some general questions related to the implementation of differential privacy.