Event Phone: 1-610-715-0115

Cancellation Policy: If you cancel your registration two weeks or more before the course is scheduled to begin, you are entitled to receive your choice of either a credit for a future seminar (which can be applied toward any of our courses) or a refund of the registration fee (minus a processing fee of $50). 

In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.

A 3-Day Livestream Seminar Taught by Charles Crabtree, Ph.D.

This seminar teaches researchers how to leverage artificial intelligence to design, implement, and analyze experimental studies more effectively. You’ll learn practical techniques for using large language models (LLMs) to generate experimental materials, validate treatments, deploy AI-powered chatbot experiments, conduct automated text analysis, and communicate results. The course emphasizes hands-on application, with participants working through real experimental challenges using state-of-the-art AI tools integrated with R.

Throughout the course, you’ll progress through the complete experimental lifecycle: from foundational prompt engineering and material generation (Day 1), to rigorous validation and advanced applications including conversational experiments and automated text analysis (Day 2), and finally to comprehensive analysis and publication (Day 3). We’ll cover best practices for prompt engineering, validation strategies to ensure AI outputs meet scientific standards, and methods for transparent reporting of AI-assisted research.