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The Interdisciplinary Dynamics of Machine Learning Design for Libraries, Museums and Archives: The AI4AV Case

October 28 @ 3:00 PM - 4:30 PM

UWM Digital Humanities Lab logoThe UWM Libraries’ Digital Humanities Lab presents a virtual talk, “The Interdisciplinary Dynamics of Machine Learning Design for Libraries, Museums and Archives: The AI4AV Case,” on Wednesday, October 28, 2020, from 3:00 to  4:30 p.m.

The presenters are Maria Esteva and Weijia Xu, both Research Scientists at the Data Intensive Computing Team, Texas Advanced Computing Center at the University of Texas at Austin.

Registration is required: https://uwm.edu/libraries/events/dh-lab-ml-for-lams/

In this presentation Dr. Esteva and Dr. Xu will introduce a research project in which their team uses Machine Learning to predict labels to describe archival audio collections. The case study will be the conduit to explain the project’s design, the methods used, and how its goals align with best practices and values in LAMs. The team works in many projects involving use of computational methods to organize, describe, manage, and preserve digital records and data.

From their inception and throughout their development the team identifies, and also discover along the way, the roles, skills, and intersections, that contribute to highlight and accomplish their interdisciplinary nature in the context of digital libraries and archives. In the process, projects are steered, assessed, interpreted, and improved, and build up towards a much needed corpus of experience incorporating computational methods in LAMs practices.

Details

Date:
October 28
Time:
3:00 PM - 4:30 PM

Venue

Online