Jump to content

GLAM Wiki 2023/Program/Tags/Cross-pollination

From Meta, a Wikimedia project coordination wiki
Logo GLAM Wiki Conference 2023 ID: 2282 Co-Creating an AI Responsive GLAM-Wiki Curriculum
Facilitators/Speakers: Silvia Gutiérrez, Giovanna Fontenelle, Paula Durán, Jonathan Jiménez Salazar Time block: Afternoon Beginning: 14:30
Location: 410 Duration: 1 hr

Librarians, archivists, museum professionals, and knowledge workers are having to rapidly adapt to new forms of inquiry brought on by Artificial Intelligence (AI). From the fears of biased AI hallucinations to the fascination of AI enhancement, knowledge workers are in critical need of the skills and knowledge to navigate the AI turn aptly. However, as AI advances rapidly, GLAM workers often feel overwhelmed with the bulks of information that requires to be processed. Informed by the learning spaces of digital humanities institutions, that bridge the gaps between manual and computer-assisted methods, this workshop will map the questions, tools, readings, and learning spaces techniques that could be operationalized by GLAM workers to create reference learning spaces for the discussion (and learning) of AI’s potentials and dangers towards culture and heritage.

This workshop will be guided by practitioners with experience designing digital humanities learning spaces as well as library-led, and museum-centered seminars and discussion groups. We will bring this expertise together so that participants return to their institutions with the building blocks to create relevant syllabi, and design discussion groups, as well as AI experimentation workshops that address common questions around AI in GLAMs.

Experience level:
Keywords: Cross-pollination, Artificial intelligence, Capacity building & training
Notes: #GLAMWiki232282

Logo GLAM Wiki Conference 2023 ID: 2116 Wikisource and Wikidata: when two cool kids play together!
Facilitators/Speakers: Bodhisattwa, West Bengal Wikimedians User Group Time block: Morning Beginning: 9:30
Location: 411 Duration: 30 min

Wikisource and Wikidata co-exist for more than a decade together. In spite of that, there has not been much engagement between the two projects. While the Wikidata community has clearly defined data modelling of books based on FRBR model in its early days and gave ample space for Wikisource to curate their book metadata in this model, Wikisource communities from different languages were slow to catch the train. In this presentation, we will explore such data gaps between the two projects. We will also look out for the best practices some of the Wikisource language communities have adopted to integrate Wikidata into their metadata curation system to display their library contents and what that integration meant to them in their every-day edits. There can be an interactive discussion with the audience to look for suggestions and plans about ways to integrate the two projects more closely in near future.

Participants will learn about the data gaps between Wikidata and Wikisource, the ways to fill them up and results of such integration.

Experience level: Intermediate
Keywords: Content uploads & workflows, Cross-pollination, Linked data
Notes: #GLAMWiki232116