BEGIN:VCALENDAR
VERSION:2.0
METHOD:PUBLISH
CALSCALE:GREGORIAN
PRODID:-//WordPress - MECv7.23.0//EN
X-ORIGINAL-URL:https://libereurope.eu/
X-WR-CALNAME:LIBER Europe
X-WR-CALDESC:
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-PUBLISHED-TTL:PT1H
X-MS-OLK-FORCEINSPECTOROPEN:TRUE
BEGIN:VEVENT
CLASS:PUBLIC
UID:MEC-d1eb4985123f83a3414f41fffe4dde42@libereurope.eu
DTSTART:20210330T130000Z
DTEND:20210330T150000Z
DTSTAMP:20210312T114600Z
CREATED:20210312
LAST-MODIFIED:20220609
PRIORITY:5
SEQUENCE:0
TRANSP:OPAQUE
SUMMARY:Beta Test of Library Carpentry Introduction to AI and Machine Learning – Workshop Series on Applying and deploying AI in GLAMs
DESCRIPTION:This workshop is part of a series of workshops (Applying and deploying AI in GLAMs) organised by AI4LAM  ( http://ai4lam.org/ )and co-hosted by LIBER and the BnF.  ( http://www.bnf.fr/ )Read more about the workshop series here ( https://libereurope.eu/article/new-workshop-series-applying-and-deploying-artificial-intelligence-ai-in-glams/ ). \nIn this workshop, Mark Bell, Mike Trizna, Nora McGregor, and Daniel van Strien will beta test the lesson that is currently in the early stages of development and is to become a part of the Library Carpentry Curriculum. The workshop aims to empower GLAM (Galleries, Libraries, Archives, and Museums) staff by providing the foundation to support, participate in and begin to undertake in their own right, machine learning-based research and projects with heritage collections.\nAfter attending, participants will be able to:\n\nExplain and differentiate key terms, phrases, and concepts associated with AI and Machine Learning in GLAM;\nDescribe ways in which AI is being innovatively used in the cultural heritage context today;\nIdentify what kinds of tasks machine learning models excel at in GLAM applications;\nIdentify weaknesses in machine learning models;\nReflect on ethical implications of applying machine learning to cultural heritage collections and discuss potential mitigation strategies;\nSummarise the practical, technical steps involved in undertaking machine learning projects.\nIdentify additional resources on AI and Machine Learning in GLAM.\n\n \nSpeakers:\nMark Bell is a member of the Research Team at The National Archives of UK. Mike Trizna is a Data Scientist with the Smithsonian Institution. Nora McGregor is the British Library’s Digital Curator for European & Americas Collections. Daniel van Strien is a Digital Curator working on Living with Machines, a collaborative project involving the British Library, the Alan Turing Institute, and researchers from a range of UK universities.\nThe space in the workshop is limited. To ensure your successful registration, please, register early until the maximum capacity is reached. Please, let us know should you not be able to attend so that a participant from the waiting list can take your place.\nThis workshop is organised by AI4LAM and co-hosted by the Smithsonian Data Science Lab as part of the workshop series ‘Applying and deploying AI in GLAMs’.\nRegister Here.\nNote: Full capacity for this workshop has been reached. If you sign up, you will be placed on the waiting list. If a place in the workshop becomes available, you will then receive a message. You can also choose to watch the recorded event on LIBER’s YouTube channel ( https://www.youtube.com/user/libervideo ) after the workshop. \n \n[Photo by Michael Dziedzic ( https://unsplash.com/@lazycreekimages?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText ) on Unsplash] ( https://libereurope.eu/?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText )\n
URL:https://libereurope.eu/event/beta-test-of-library-carpentry-introduction-to-ai-and-machine-learning-workshop-series-on-applying-and-deploying-ai-in-glams/
ATTACH;FMTTYPE=image/jpeg:https://libereurope.eu/wp-content/uploads/2021/03/michael-dziedzic-qDG7XKJLKbs-unsplash-scaled.jpg
END:VEVENT
END:VCALENDAR