Discover Research Opportunities with AI: Using LLM Tools to Connect Ideas, People, and Projects
- Sponsor
- The Center for Innovation in Teaching & Learning
- Speaker
- Yun Huang
- Contact
- Przemek Bosak
- pbosak2@illinois.edu
- Views
- 85
Looking for a research topic, a faculty collaborator, students with specific skills, or an on-campus project (paid or unpaid)?
Join us to explore how Large Language Model (LLM) tools can make that process easier and smarter.In this interactive session, we’ll demonstrate a suite of AI-powered research discovery and collaboration tools developed by the SALT Lab at the iSchool, University of Illinois Urbana-Champaign. These tools help students and faculty:
- Explore research ideas across disciplines through conversational AI
- Find potential mentors, collaborators, or advisors based on shared interests
- Identify Ph.D. or internship opportunities, as well as research projects that align with personal goals
- Learn how AI can support networking and community building across campus
We’ll also share research insights on how these tools foster creativity, inclusivity, and interdisciplinary teamwork. Participants will have the opportunity to try the tools and discuss how they might enhance their own research journeys.
Dr. Yun Huang is an Associate Professor in the School of Information Sciences at the University of Illinois at Urbana-Champaign. She is dedicated to innovating AI-based solutions that foster a synergistic relationship between humans and machines, enhancing educational opportunities to all and expanding access to community services.