Helping faculty focus on discovery rather than process
The College of Business AI Virtual Lab is a research initiative designed to support and enhance faculty scholarship while providing meaningful experiential learning opportunities for undergraduate researchers. Faculty members may collaborate with AI-trained REU Student Fellows who apply advanced artificial intelligence tools and workflows to assist with activities such as literature reviews, data collection, coding, data analysis and research synthesis.
By combining emerging AI capabilities with faculty expertise and student support, the CoB AI V-Lab helps reduce time-intensive research tasks, expand research capacity and accelerate progress across the scholarly lifecycle. The initiative is designed to help you pursue ambitious research agendas, increase scholarly output and maintain the highest standards of academic rigor and research quality.
Core Research Capabilities
- Literature Synthesis & Summarization: Summarizing literature streams, generating research matrices, formatting citations
- Data Extraction & Preprocessing: Web scraping unstructured text, data cleaning
- Advanced Prompt Engineering & NLP: Executing automated sentiment analysis, custom LLM prompting strategies.
- Code Debugging & Optimization: Writing, debugging, or translating code (R, Python, Stata, SQL)
- Survey & Experimental Setup: Setting up surveys/experiments (Qualtrics, QuestionPro), designing experimental logic, scenario/stimuli creation (text, image, or video)
- Manuscript Preparation & Formatting: Proofing prose, organizing response-to-reviewer matrices, and ensuring tables and references match target journal guidelines.
Complete the short online intake form outlining your research project goals, target deadlines, technical requirements and estimated student hours needed. Once submitted, your request will be reviewed by the Lab Director to match you with a Fellow possessing the appropriate technical skill set. What to expect next:
- You will receive a status update within 2 business days regarding student availability and task scoping.
- Once matched, your assigned Fellow may schedule a brief call to clarify project deliverables before work begins.
If you have any questions, please contact Dr. Tim Ozcan at CoBAIVLab@jmu.edu
Hours of operation:
Mon - Fri: 8 a.m. - 5 p.m.
