From Guesswork to Great Collections: Using AI to Build Engaged, Faculty-Informed Libraries
Event Type
Presentation
Start Date
25-7-2025 12:15 PM
End Date
25-7-2025 1:15 PM
Description
Struggling to build collections that truly reflect your campus’ teaching and research needs? You’re not alone. With limited face time with faculty, hybrid schedules, and shrinking budgets, librarians often work in the dark—relying on guesswork, legacy requests, or one-size-fits-all tools.
This hands-on workshop introduces an innovative, AI-powered method developed at CSU Long Beach for creating faculty user profiles using publicly available data and tools like ChatGPT. Inspired by customer profiling strategies in the business world, this approach helps librarians move from reactive to proactive collection development.
Learn how to turn online faculty biographies, Curriculum Vitas, and publication data into actionable insights—identifying core journals, relevant titles, and high-impact resources tailored to departmental needs. Whether you're new to a subject area or just looking for a smarter way to engage faculty, this method will help you build dynamic collections that are actually used.
Outcomes
- Explore the ways that AI can assist with bridging the gap between departmental faculty and subject librarians
- Select data that will generate discipline specific faculty profiles for collection development
- Identify the strengths and weaknesses of AI for collection development
From Guesswork to Great Collections: Using AI to Build Engaged, Faculty-Informed Libraries
Struggling to build collections that truly reflect your campus’ teaching and research needs? You’re not alone. With limited face time with faculty, hybrid schedules, and shrinking budgets, librarians often work in the dark—relying on guesswork, legacy requests, or one-size-fits-all tools.
This hands-on workshop introduces an innovative, AI-powered method developed at CSU Long Beach for creating faculty user profiles using publicly available data and tools like ChatGPT. Inspired by customer profiling strategies in the business world, this approach helps librarians move from reactive to proactive collection development.
Learn how to turn online faculty biographies, Curriculum Vitas, and publication data into actionable insights—identifying core journals, relevant titles, and high-impact resources tailored to departmental needs. Whether you're new to a subject area or just looking for a smarter way to engage faculty, this method will help you build dynamic collections that are actually used.
Outcomes
- Explore the ways that AI can assist with bridging the gap between departmental faculty and subject librarians
- Select data that will generate discipline specific faculty profiles for collection development
- Identify the strengths and weaknesses of AI for collection development
