Fall 2025 meeting times will be on Tuesdays from 2:30 - 4:30 PM in AV Williams Building, Room 3177. Some remote work, occasional meetings via Zoom, and in-person meetings beyond schedule time in AVW as needed with students.
An undergraduate student joins a research group unsure if research is right for them. They struggle at first, then start asking questions. They gain confidence, learn new skills, seek guidance from their mentor, develop relationships with their peers, and share their research with others. By the end of their experience, they describe themselves as a “researcher.” How does this happen? What shifted this student from being uncertain about research to identifying as a researcher? Who made an impact on their experience? How do so many other students, with entirely different experiences, come to see themselves the same way?
In Research/Research (“Research on Research”) we center our focus around these questions. Using data from student reflections, assignments, interviews, and focus groups, our team works to understand and contextualize the experiences, identities, influences, and factors that may impact undergraduate student researchers’ experiences. But that’s not all! Rooted in social and data sciences, RR analyzes student experiences using multi- and mixed-methods approaches. In addition to addressing questions about undergraduate research experiences, our teamworks to better understand, test, and propose best practices for the use of artificial intelligence (AI) to enhance traditional qualitative research methods. RR team members will develop hands-on skills in qualitative research, mixed-methods research, and experience analyzing data using AI & machine learning techniques.
- Mixed-Methods Research Qualitative Research
- AI & Machine Learning (use of Generative AI, Large Language Models, Topic Clustering, Sentiment Analysis)
- Data Analysis & Visualization Design Based Research Program Evaluation
Research/Research is open to students of all majors who are excited to explore approaches to mixed methods research in the context of undergraduate research experiences. Work done in R/R may be of particular relevance for students from the following majors:
- Social Data Science
- Psychology
- Education
- Computer Science
Preferred Interests & Preparation
No experience, prior knowledge, or coursework is necessary.
Carinna Ferguson (she/her)
Office of Undergraduate Research
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