Natalie Meyers is the first ARL/CNI researcher in residence. She focuses on the strategic implications of artificial intelligence (AI) for research libraries, furthering the Association’s research, advocacy, and tracking of machine learning (ML), deep learning, AI, and generative AI. In addition to her role at ARL/CNI, Meyers is a research specialist at SDSC and recently served as professor of the practice at the Lucy Family Institute for Data & Society and prior to that as e-research librarian at the Navari Family Center for Digital Scholarship at the University of Notre Dame. She is co-chair of the Artificial Intelligence/Data Visitation Working Group of the Research Data Alliance (RDA) and co-author of the group’s AI Bill of Rights Recommendation. She has published and spoken extensively on various aspects of computational research and AI, including the recent “Ten Simple Rules for Good Model-Sharing Practices” in PLOS Computational Biology. Natalie holds an MLIS from the University of California, Berkeley with a concentration in database design and systems analysis; an MA in English from the University of Wisconsin–Milwaukee; and a BA in philosophy and English from DePauw University.
