Posts by Lydia Middleton
From Your Executive Director, July 2022
From Your Executive Director, July 2022 Greetings Colleagues: I am writing this column from my room in Dublin where I am attending the meeting of the International Federation of Library Associations (IFLA). I come to this meeting because it is a place where many ASIS&T members gather and it provides me an opportunity to see…
Read MoreGovernance Update, July 2022
Governance Update, July 2022 The Board of Directors met on June 6, 2022 via video conference. In attendance were Naresh Agarwal, PhD (President); Abebe Rorissa, PhD (President-Elect); Joan Bartlett, PhD; Maria Bonn, PhD; Tina Du, PhD, Anna Maria Tammaro, PhD; Lydia Middleton, MBA, CAE (Executive Director); and Chris Cunningham, PhD (Parliamentarian). Guest in attendance: Deanna…
Read MoreAI without the Code: User friendly tools to help everyone
AI without the Code: User friendly tools to help everyone by Martha Roseberry While my work is in library IT, I am also a PhD student in Computer Science, with research specifically in the area of machine learning (ML) and data science. As such, I came to the IDEA institute with a good knowledge and…
Read More2022 Board Election Results
2022 Board Election Results The ASIS&T Nominations Committee is delighted to present the new members who will be joining the Board in October of 2022 (or continuing for a second term). In addition, the proposed Bylaws Amendments passed with 98% of the vote. President-Elect Crystal Fulton Bio and Interview Treasurer Ina Fourie Bio and Interview…
Read MoreCollections as data; ML literacies in libraries
Collections as data; ML literacies in libraries by Rafia Mirza In our research technology workshop series at my home institution we discuss not only the technical skills that go into a project, but also the ethical considerations as well. In our workshops we often start with the conceptual questions–why might you do something a certain…
Read MoreAdaptive Strategies for Successful Librarianship in an AI-Driven World
Adaptive Strategies for Successful Librarianship in an AI-Driven World 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…
Read MoreAI and User Data
AI and User Data by 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…
Read MoreA reflection on a week of participatory learning and networking about AI in Libraries
A reflection on a week of participatory learning and networking about AI in Libraries by 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…
Read MoreSharpening ideas of AI for libraries at IDEA AI Institute | IDEA Institute on Artificial Intelligence
Sharpening ideas of AI for libraries at IDEA AI Institute | IDEA Institute on Artificial Intelligence by 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,…
Read MoreUtilizing AI and ML for the Professional Development and Programming Needs of School Librarians
Utilizing AI and ML for the Professional Development and Programming Needs of School Librarians By 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…
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