Schedule: 2024.code4lib.org/schedule/da...
00:00:00 Start of video
00:06:12 Critical Refusal as Feminist Data Practice - Patricia Garcia
01:15:24 Smith Inventory System: How it works and lessons learned - Michael Walton
01:20:31 Bound-with Titles in FOLIO and VuFind - Maccabbee Levine
01:25:13 Browser Extension Rant - Eric Hellman
01:30:06 Things my grandfather told me [30 years later, with the help of AI audio transcription] - Michael Klein
01:36:27 ETDs@Harvard - Dee Dee Crema
01:41:36 On Not choosing Kubernetes OR it's OK to fail - Patrick Galligan
01:47:51 Three(ish) Tips for Better Data Visualization - Angela Zoss
01:54:48 Learning from Poggio Civitate: Data Verification - Steve Bischof
02:02:26 Open Access Theses and Dissertations - Thomas Dowling
02:14:49 Lessons learned: How to get traction with AI and start building - Raiden van Bronkhorst, Charlie Collett
02:33:35 Exploring the Flip Side of Explainable AI: Unexplained Expert Systems and Cultural Acceptance for the Unexplained - Wilhelmina Randtke
02:44:30 Aligning Keywords from Long Form Prose to Controlled Vocabulary - Kio Polson
02:58:42 Automating Metadata Hygiene to Improve Economic Research Discoverability - Scott St. Louis