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A list of seven principles for adopting machine learning derived from LC Labs experimentation, reports, and user feedback.

Grounding iterative experimentation with LC Labs: CCHC and Machine Learning

Posted by: Meghan Ferriter

Across the last five years, LC Labs experiments have integrated sundry perspectives and disciplines to connect people, practice, and history; from making collections more legible and discoverable through volunteer crowdsourcing efforts with Beyond Words and By the People, to developing frameworks for ethically engaging people when adopting machine learning with Humans in the Loop, to …

Why Web Archiving?: A Conversation with Web Archivists and Researchers

Posted by: Tracee Haupt Fugate

On May 23, the Library of Congress hosted “#WhyWebArchiving: Preserving Internet Content for Research Use,” a virtual event that brought together Library subject experts actively involved in building web archives with researchers that have utilized the Library’s web archives in their work. The event kicked-off the 2022 Web Archiving Conference, which the Library co-hosted with …

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Library of Congress Opens Search for Next Innovator in Residence

Posted by: Jaime Mears

The Library of Congress is looking for a creative dreamer and doer to serve as its next Innovator in Residence. Through May 2nd, 2022, the Library is inviting researchers, artists, and bold thinkers of all types to propose imaginative new experiments designed to open the Library’s vast treasure chest and connect its digital collections with …

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Computing Cultural Heritage in the Cloud: An Interview with Victoria Scheppele

Posted by: Leah Weinryb-Grohsgal

We are delighted to introduce Victoria (Tori) Scheppele, a Library Technician in the Prints & Photographs Division who has joined us temporarily to work on the Computing Cultural Heritage in the Cloud (CCHC) initiative. The CCHC initiative is supported by a generous grant from the Andrew W. Mellon Foundation. Centered in LC Labs, the project …