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AI Tools for Systematic Reviews and Evidence Synthesis
Systematic reviews require a rigorous and systematic approach to reviewing existing literature and discovering new knowledge. With the rapid expansion of literature across nearly all disciplines, AI-based tools can significantly enhance researchers’ efforts and efficiency. While not all self-proclaimed research assistant AI tools are adaptively useful, carefully selecting and integrating the right tools at the appropriate stages can advance knowledge discovery. This presentation aims to provide a basic understanding of AI tools for systematic reviews and their proper use.
- Introduction to AI tools and their efficacy in Systematic Reviews
- Evaluation criteria for AI tools
- Optimal use of AI-based tools for Systematic Reviews
Participants are encouraged to bring their own use cases to share with the group.
Audience: Undergraduate students, graduate students, researchers, and faculty
Related LibGuide: Evidence Synthesis Service by Evidence Synthesis
- Date:
- Tuesday, March 4, 2025
- Time:
- 3:00pm - 4:00pm
- Time Zone:
- Central Time - US & Canada (change)
- Presenter:
- Sarah Park, Head, Math Library
- Location:
- Grainger Commons, Rooms 233/235 (Map )
- CampusLibraries:
- Engineering
- Audience:
- All are welcome
- Categories:
- Evidence Synthesis
THIS SESSION WILL BE TAUGHT IN-PERSON (Grainger Engineering Library Information Center, Grainger Commons, Rooms 233/235)
- Floor plan for Grainger Engineering Library: Take the elevator or stairs to the second floor
- Google Maps directions to the Grainger Engineering Library
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