This course examines how large language models can support the design and evaluation of surveys and experiments in political science. Participants will study applications of generative AI to questionnaire development, experimental materials, adaptive surveys, measurement, and pretesting.

The course emphasizes research validity, transparency, bias, and reproducibility. In-person sessions run from January 11 to 14; January 15 is reserved for an asynchronous project-evaluation and feedback activity.