• Using LLMs for Social Science Research*, taught by Ethan C. Busby, July 7-10. Explore the fundamentals of large language models (LLMs) and their applications in social and behavioral research, including open-ended response coding, synthetic sample generation, experimental treatments, and effective prompt engineering. Preview the first hour on YouTube!
• Using AI to Build Better Experiments*, taught by Charles Crabtree, July 14-17. Use LLMs to improve experimental design, implementation, and analysis by generating and validating materials, building AI-powered chatbot studies, and applying automated text analysis. 
• Claude-Powered Academic Research: From Ideation to Publication*, taught by Jeffrey Dotson, July 21-24. Learn how to use Claude tools and GitHub to support the full academic research workflow, from refining research questions and organizing replication-ready codebases to wrangling data, running analyses, and preparing polished writing.
• Machine Learning, taught by Bruce Desmarais, July 21-24. Gain a comprehensive understanding of machine learning concepts and practical applications, and use these powerful techniques to enhance your research and analysis. This training counts toward the 4-course Machine Learning Certification.

All seminars are livestreamed via Zoom, with full recordings available for asynchronous viewing.