The goal of this REU Site is to engage participating students in real-world projects studying human-AI interaction from the perspectives of data analytics, information retrieval, applied machine learning, human-computer interaction, and social computing. Students participating in the REU Site project will learn:

1. The concept of human-AI interaction, its methods, interfaces, and active research topics,
2. Mainstream computational methods to study human-AI interaction, including how to access, clean, preprocess, and visualize data and how to build analytical and predictive models using open source programming tools,
3. Important metrics to evaluate research results, compare baseline models, and produce preliminary results for publication quality research products, and
4. Essential research skills including brainstorming discussion, programming experiments, evaluation, trial-and-error, technical writing, and research presentation.

Students will conduct hands-on research on topics of their own choosing that fit within faculty members' existing broad human-AI interaction research programs. The participants will learn essential knowledge and skills to support future careers, whether research or application oriented.