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 Hudson Golino, Ph.D.

Building AI-Powered Tools

AI agents are transforming research workflows by going beyond simple prompting. Unlike traditional chatbots, agents can search the web, retrieve information, select and use appropriate tools, and complete complex, multi-step tasks with minimal supervision.

In this hands-on seminar, you’ll learn how to build custom AI-powered research assistants in R for tasks such as conducting literature reviews, locating validated measurement instruments, synthesizing online sources, supporting systematic reviews, informing research design decisions, and identifying funding opportunities.

Through live demonstrations and guided coding exercises, you’ll create and customize specialized agents tailored to your own research needs. By the end of the seminar, you will have built a suite of research-focused agents that can automate repetitive tasks and enhance your research workflow.

You will walk away from this course with the ability to:

• • Create agents for literature reviews, measurement identification, and research support.
  • Integrate web search and external data sources into agent workflows.
  • Coordinate multiple agents to complete complex tasks.
  • Document AI use in academic research.
  • Evaluate and verify agent outputs using research best practices and ethical considerations.