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Category: digital scholarship

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 …

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An Introduction to Born Digital Collections at the Manuscript Division, or How to Cross the Equator

Posted by: Leah Weinryb-Grohsgal

The following guest post by Josh Levy, Historian of Science and Technology in the Library’s Manuscript Division, is part two of a series. You can find Part 1 of the series, “Doing History with Born Digital Files: the Rhoda Métraux and Edward Lorenz Papers,” posted on The Signal. Archives can’t just collect physical objects anymore. …

Dozens of squares, each with its own individual color or shade, lined up in rows and columns

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 …