University of Hawaiʻi at Mānoa

Library and Information Science Program

Month: August 2024

  • Health Sciences Library, John A. Burns School of Medicine ▶️

    Location: 651 Ilalo St., Honolulu, HI, 96813

    Website

    Internship Description

    The Health Sciences Library offers a wide variety of options for selected interns. While we have minimal face-to-face reference, we include interns in every aspect of the work we do. The director has extensive experience in collection development, copyright, and resource licensing and the technical services librarian has significant knowledge of cataloging and web management. Interns will work with the public service librarian on various systematic review and instruction-related activities. We always have many projects to participate in from digitization to data management, utilizing ScholarSpace and Evols.

    Library/Collection Description

    The Health Sciences Library serves the students, faculty, researchers and staff of the John A. Burns School of Medicine and the Cancer Research Center of the University of Hawaiʻi at Mānoa. The library has a small print collection with most journal runs starting from 1980, popular medical textbooks and monographs. Most of the collection is available online, including medical texts and journals.

    Required Qualifications

    Successful completion of LIS 601 Introduction to Reference & Information Services.

    Desired Qualifications

    • An interest in multiple aspects of librarianship
    • A desire to learn more about health sciences librarianship
    • The ability to think outside the box

    Weekly Schedule

    The Health Sciences Library is open Monday through Friday, 8 A.M. to 5 P.M. We are not open on weekends. We happily accommodate any proposed schedule during those work hours.

    Goals and Outcomes

    We aim to give prospective interns a wide range of opportunities. We expect our interns to participate in whatever we are doing with the expectation that they gain experience in work they wouldn’t get in school and help them find a focus on what aspects of librarianship interest them the most.

    Evaluation Methods

    We utilize the Basecamp interface to track daily work, communicate on projects, and link important documents. All the librarians interacting with the interns will be included in discussions with the interns throughout the semester and when the internship evaluations are due.

    Evaluation Schedule

    Throughout the semester.

    Contact Information

    Kristen Anderson – Supervisor

    E-mail: krisa@hawaii.edu

    Telephone: (808) 692-0823

    Posted:

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  • Jonathan Young and Morgan Lammert to Present at LIS Research Forum September 5, 2024

    Jonathan Young and Morgan Lammert to Present at LIS Research Forum September 5, 2024

    The LIS Program is hosting our next LIS Research Forum on Thursday, September 5 at 11:30-12:30 in the LIS Program Area, Hamilton room 003F and on Zoom. We welcome UHM Natural Sciences Librarian Jonathan Young and current LIS student Morgan Lammert as they present “AI Text Analysis at Hamilton Science and Technology Reference : Transforming Approaches to Library Assessment Using Generative AI”.

    Presentation Description:

    Generative artificial intelligence (AI) has garnered interest in its ability to create fluent language. However, less well appreciated is its remarkable ability to read and analyze text. AI offers the opportunity to perform many tasks involving text analysis, including many library assessment tasks that would otherwise be impractical, if not impossible, due to the volume and magnitude of the text information involved. Traditionally, analytics and evidence in libraries have focused on counting aggregate, measurable items. This ranges from usage statistics, instructional sessions count, catalog records, or other methods of bibliometrics. Generative AI offers the librarian a novel ability to go beyond these metrics and engage with the meaning of text data at scale and for reasonable cost.

    This talk describes how librarians at the UHM Science and Technology Reference Department are exploring automated and semi-automated AI methods to empower analysis in areas such as reference and collection development. These distinct projects suggest how librarians can usefully apply generative AI methods, overcoming limitations such as bias and hallucinations, and imagine a new assessment paradigm centered around extensive text analysis.

    Presenter Bios:

    Jonathan Young is the Natural Sciences Librarian at the University of Hawaiʻi at Mānoa. He obtained an MS in Computation and Neural Systems from the California Institute of Technology, and an MLIS and PhD in Communication and Information Sciences from the University of Hawaiʻi at Mānoa. His research interests include open science, bibliometrics, interdisciplinarity, and AI.

    Morgan Lammert is in the final semester of her master’s degree in Library and Information Science at the University of Hawaiʻi at Mānoa. She obtained a B.S. in Chemistry from Pepperdine University and strives to combine her background in science with librarianship. As the LIS intern at Hamilton Library’s Science and Technology Reference Department, she has enjoyed experimenting with generative AI and its potential applications in libraries. She looks forward to a future career in which she can continue to explore technological innovations in libraries.

     

    Please contact the LIS Program office at lisinfo@hawaii.edu for the Zoom meeting link.