AI & Survey Methodology Undergraduate Research Assistant - School of Applied Human Development

You will assist with a funded research project testing whether AI-generated survey responses can serve as a low-cost, pre-testing tool before human data collection, using large language model (LLM) APIs to generate simulated respondents across factorial conditions. Career Readiness Competencies Set personal goals and track progress toward them. Adjust tone and approach based on audience (e.g., peers vs. supervisors). Ask thoughtful questions that help clarify tasks or challenges.

Recognize when priorities need to shift and adjust accordingly. Take ownership of assigned responsibilities and follow through. Learn new software or digital platforms as needed for your role. Examples of Duties Draft and revise persona specifications for AI prompt templates Execute and document AI generation runs via LLM APIs (e.g., Claude, ChatGPT) Maintain a reproducibility log (prompt versions, seeds, outputs) Perform basic data cleaning and file organization for statistical analysis Attend weekly check-ins with the PI Qualifications Currently enrolled BGSU undergraduate in good academic standing Strong attention to detail and organizational skills Experience with or interest in working with LLM APIs (e.g., OpenAI API, Anthropic API) Basic spreadsheet familiarity (Excel or Google Sheets) Interest in AI, survey research, or quantitative social science Basic programming familiarity (R or Python) is a plus but not required