This poster chronicles an iterative, hands-on project to automate the generation of structured MARC holdings fields (853/863) from 866 textual holdings statements — and the challenges of making that process portable across institutions. Beginning with a colleague's existing automation script, the presenter adapted the tool to their own branch collection through self-directed learning, without a formal programming background. When it became clear that the pattern-matching rules at the heart of the tool would need to be rewritten from scratch for every institution's unique holdings formatting conventions, the presenter turned to AI — exploring several distinct approaches: using AI to write and refine those matching rules directly from sample data; using AI to survey and cluster the range of formatting patterns present in the holdings data; using AI to build a reusable pattern-detection tool; and using AI to interpret holdings statements record by record, bypassing hand-crafted rules entirely. The presentation evaluates the trade-offs of each approach and reflects on what these experiments reveal about where AI assistance is genuinely useful in technical library workflows — and where human cataloging expertise remains essential.
This digital and interactive project invites users to explore Indigenous narratives through georeferenced points on Google Earth. Each location combines oral histories, photos, and contemporary landscapes from the Museu da Pessoa archive in Brazil, offering an immersive journey into memory and territory. The project promotes inclusive and democratic access to cultural heritage using free tools such as Google Earth and 123apps.com. It allows educators, students, and the general public to engage with Indigenous knowledge through open, accessible, and interactive learning. By connecting memory, territory, and digital storytelling, Living Lands and Memories demonstrates how libraries and cultural institutions can integrate free technologies to preserve and share voices that are often underrepresented. The poster will showcase visual elements from the interactive map and include QR codes linking to the project and the Museu da Pessoa platform
For more than a decade, the Association for Library Service to Children has been encouraging children's and youth librarians to serve in media mentorship capacities to guide children and families in their use of technology and media. Yet little empirical research exists to validate the extent to which children's librarians are serving in this capacity nor the extent to which they feel prepared to do so. This poster will share findings from a research project exploring children's librarians' enactment of media mentorship and offer implications for practice.
Large research universities have incredible library collections, fostering research across many disciplines and spanning decades of collection development. The library catalog returns a wealth of information, but how physically discoverable are those items on library shelves? This poster looks at the prevalence of collection mapping, particularly shelf or range-level collection mapping, at R1 universities. It also serves as a way to highlight a case study of implementing such a system at my large university library, hopefully making the process easier for other libraries to implement at their own institutions.
Artificial Intelligence (AI) is an emerging technology that the public is using increasingly for menial tasks such as creating a grocery list or writing an email; but what happens when an individual seeks AI guidance about their physical health before seeking guidance from a human clinician? This poster presentation will highlight the progress and findings of a microstudy based in Louisville. The study is focused on how consumer health information is being sought out by human users and then disseminated via artificial intelligence large language models (LLMs). The presenter will report on background literature regarding AI and consumer health in a succinct format, such as pros and cons. After briefly touching on background information, the presenter will discuss how the study has been conducted (via one-to-one interviews with local Louisville (residents), then share thematic findings based on the verbal interviews and testimonies of the study participants. All data reported will be based on de-identified, anonymized testimonies to protect the privacy of every participant. Towards the end of the presentation, the presenter will discuss future implications and how librarians can promote technological/AI literacy and health literacy among their patrons.
