SIG-Infolearn Events
21 August 2025 – The Special Libraries Association (SLA) and the Association for Information Science and Technology (ASIS&T) today announced that their members have cleared the way for the organizations to merge. SLA members voted overwhelmingly to accept the dissolution plan proposed by their Board of Directors. Separately, ASIS&T members resoundingly approved their Board’s proposal…
Read MoreCall for Submissions: SIG-HLTH Best Health-Related ASIS&T 2025 Annual Meeting Paper & Poster Awards SIG-HLTH, ASIS&T’s Special Interest Group on Health Informatics, is pleased to open submissions for the SIG-HLTH Best Health-Related ASIS&T 2025 Annual Meeting Long Paper Award, the SIG-HLTH Best Health-Related ASIS&T 2025 Annual Meeting Short Paper Award, and the SIG-HLTH Best Health-Related ASIS&T 2025 Annual Meeting Poster Award. We define health broadly to encompass research…
Read MoreThe Association for Information Science & Technology (ASIS&T) is delighted to announce that “Sneaked references: Fabricated reference metadata distort citation counts,” written by Lonni Besançon, Guillaume Cabanac, Cyril Labbé, and Alexander Magazinov, published in Volume 75, Issue12 of the Journal of the Association for Information Science & Technology (JASIST), is the recipient of the…
Read MoreThe Association for Information Science & Technology (ASIS&T) is delighted to announce that Niels Windfeld Lund’s Introduction to Documentation Studies, published by Facet Publishing, is the recipient of the ASIS&T Best Information Science Book Award for 2025. The award’s purpose is to recognize the outstanding book in information science published during the preceding calendar year.…
Read MoreDescription: This document offers guidelines for the content, organization and presentation of indexes. Question: Do you approve the technical content of ISO/DIS 999? Decision: Approved with comments Comments: This draft is relevant to standard practices in index creation and presentation. However, the following revisions are suggested:
Read MoreDescription: ISO/CD 25244, Information and documentation – Performance indicators for archives specifies guidelines for the archives community on the collection and reporting of statistics for the following purposes: Question: Do you have comments on the technical content of ISO/CD 25244? Vote: No comments.
Read MoreDescription: ISO 30300:2020 provides a foundational vocabulary for the records management domain, promoting consistency and clarity across related standards developed by ISO/TC 46/SC 11. It includes key terms and definitions but does not restrict the creation of new terms in future standards. This vocabulary supports professionals and organizations aiming to align with international best practices…
Read MoreDescription: ISO/TS 22943:2022, Information and documentation – Principles of identification, presents the foundational rationale behind the existence and use of identifiers. It provides a consistent framework for structuring and understanding identifiers in both trade and information management contexts. The standard outlines core expectations, characteristics, and the broader business case for identifiers, while also acknowledging that…
Read MoreASIS&T will use this space to share information with our current and future members about the plans for and process of merger with the Special Libraries Association. A working group consisting of Heather Kotula, 2025 SLA President-Elect; John DiGilio, 2025 SLA Past President; Christine Pelosi, SLA Director; Julie Smith Maekask, SLA Director; James Manasco, SLA Director; Ian…
Read MoreDescription: Part 1 of ISO 25964 gives recommendations for the development and maintenance of thesauri intended for information retrieval, applications as well as broader use cases including web navigation, artificial intelligence, author tagging, management and use applications. It is applicable to vocabularies used for retrieving information from all types of information resources, irrespective of the…
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by Sharon Clapp In the discipline of artificial intelligence (AI) known as machine learning (ML), “supervised learning” takes place when a set of data that has already been classified by humans is used to “teach” the machine how to classify additional data on its own. While it is underpinned by a lot of math and…
Read Moreby Robert Wilson In January 2022, my role changed to Systems and Analytics Librarian at Middle Tennessee State University’s Walker Library. In this role, time is dedicated to reporting including the formalization and automation of past data analytics and data visualization work as well as predictive analytics. This work includes improving and automating descriptive reports…
Read Moreby Thomas (T.J.) Ferrill It was such a privilege to have been invited to participate as a fellow in the 2022 IMLS IDEA Institute on AI. Learning alongside researchers, practitioners, and scholars working in library and information science was an unparalleled opportunity to consider the impacts of AI on library workflows at many levels. Broadly…
Read Moreby Borui Zhang Hi, IDEA blog site visitor! I’m an “AI librarian” I’m a human being too – sorry if I disappointed you. I work as the NLP specialist at my school library where we provide AI consultations, training, and resources to students, faculty, and staff. (“AI librarian” is the nickname my colleague gave me.)…
Read MoreBy Daniella Smith Connecting AI and ML to Libraries I am very appreciative for the opportunity to attend the IDEA Institute. It has been wonderful listening to the ideas about applying Artificial Intelligence (AI) and Machine Learning (ML) to librarianship. Often, people do not associate librarianship with AI and ML. However, the disconnect is a misconception.…
Read Moreby Lencia Beltran The Artificial Intelligence application of machine learning predictive analytics and recommender systems is pervasive in a number of companies today like Amazon, Spotify, and Pinterest, but what about libraries? It’s unlikely a person will see or have heard of such systems being widely used in many Libraries, even though they can offer…
Read Moreby Mary Beth Holm AI is already a major part of everyday life, whether people are aware of it or not. Credit, healthcare, career opportunities, and even personal freedom may be impacted by AI. It is important that people understand AI and that there are equitable opportunities to work with AI and machine learning. This…
Read Moreby Erik Radio Iterative processes constitute a significant part of any machine learning (ML) project. For my project I found they were necessary even before arriving at any coding. Specifically, just the concept and telos of ML changed the ways in which I thought about a particular problem. ML let me hone in on larger…
Read Moreby Valerie Lookingbill With the exponential rise in online publishing, there is an increasing need for comprehensive overviews of research, including systematic reviews, a methodology for conducting reviews of literature that prescribes explicit, reproducible, and transparent processes for collating the best available evidence on a particular topic. While this rise in publications presents opportunities for…
Read Moreby Kineret Ben Knaan In recent years, we have seen an increase in the adoption of artificial intelligence (AI) applications in public and academic libraries. While libraries are still less proactive than the private sector in embracing AI and machine learning (ML), they are slowly beginning to discover ways AI solutions can serve their mission…
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