The rise of artificial intelligence (AI), primarily through large language models (LLMs), has already dramatically reshaped teaching, learning, analysis, and scholarship. In this workshop, we will cover through hands-on tutorials how LLMs can be (and are being) used throughout this process, with a focus on the research workflow. This will include topics ranging from using LLMs for general search, brainstorming/discussion, and editing/feedback on writing to more advanced topics such as "vibe coding" (i.e. programming via natural language) and the creation of fully agentic systems for research and analysis. It will aim to provide practical, actionable advice for implementing these tools within scientific workflows.

This workshop will be run jointly with the Statistical Education Workshop  "AI and LLMs - Education Perspective" in the morning to provide a common, foundational introduction to working with LLMs before splitting off in the afternoon to cover independent material.