The Opioid Industry Documents Archive: National Symposium 2025, Day 2: Information Science
This unique virtual symposium offers a series of complementary panels that demonstrates OIDA’s value in addressing fundamental questions of importance to historians, health policy and legal experts, journalists, archivists and people with lived experience.
In the digital age, organizational records are being produced on a scale that dwarfs earlier archives of institutional records. Speakers will talk about the challenges and opportunities of managing and providing access to massive digital collections like OIDA.
About the Event
This unique virtual symposium offers a series of complementary panels that demonstrates OIDA’s value in addressing fundamental questions of importance to historians, health policy and legal experts, journalists, archivists and people with lived experience.
Day #2: Information Science
Wednesday, May 7, Noon-2:30 PM (ET) ● 9:00 AM-11:30 AM (PT)
In the digital age, organizational records are being produced on a scale that dwarfs earlier archives of institutional records. Speakers will talk about the challenges and opportunities of managing and providing access to massive digital collections like OIDA.
Elizabeth Yakel
Elizabeth Yakel, PhD, is the C. Olivia Frost Collegiate Professor of Information at the University of Michigan School of Information, as well as Faculty Associate, Inter-university Consortium for Political and Social Research, Institute for Social Research at the University of Michigan. Previously, she served as Interim Dean of the School of Information and Senior Associate Dean for Academic Affairs. Her research interests include digital archives and curation, specifically data reuse; teaching with primary sources; and the development of standardized metrics to enhance repository processes and the user experience.
Professor Yakel has been a PI or co-PI on numerous grants from the Institute for Museum and Library Services (IMLS), the National Science Foundation (NSF), the National Park Service (NPS), and the Mellon Foundation. Her current research examines data sharing and reuse of public health data during the COVID-19 pandemic.
Daniel van Strien
Daniel van Strien is the Machine Learning Librarian at Hugging Face, a startup focused on democratizing good machine learning. Van Strien’s work at Hugging Face is focused on developing a healthier machine learning ecosystem with a particular focus on data and metadata. Previously, van Strien worked at the British Library on “Living with Machines”, the UK’s largest-ever Digital Humanities project, which aimed to use machine learning and data science to understand digitized collections from the British Library and other institutions “at scale”. Van Strien led BigLAM, an effort focused on increasing the availability of datasets from libraries, archives and museums for training and evaluating machine learning models, as part of the BigScience project, a one-year research workshop focused on responsibly developing a multilingual Large Language Model, leading to the BLOOM model.
Van Strien’s career has focused on how new computational methods can be effectively used within libraries and archives; a significant part of this work has involved developing tutorials and other teaching materials to make machine learning more accessible to librarians, archivists and humanities researchers. Van Strien currently serves on the AI4LAM advisory council and has previously co-chaired the Machines Reading Maps advisory board and the Computer Vision for Digital Heritage Special Interest Group at the Alan Turing Institute.
Jill Reilly
Jill Reilly is the Acting Chief Innovation Officer at the National Archives and Records Administration (NARA) and the Digital Engagement Director. She leads the National Archives Catalog technical, description, and metadata standards and authorities programs, in addition to artificial intelligence pilots related to description, search and information retrieval, and transcription. She has a master of library science degree in archival administration and a master of arts in U.S. history from the University of Maryland in College Park.
