[12:40:26] Perhaps, after learning about Wikidata basics, they could learn how to use the query service, then either build a Wikidata based app, or learn how to edit programmatically (with bots or quickstatements). This could also involve data cleaning and preparation basics. (re @nlikomitros: I am interested to present Wikidata to students in my university in [12:40:27] October/November. How students [12:40:27] could be involved in the tech...) [13:19:59] It feels like your students are CS. You could have a section about Wikidata vs LLM. Mostly: [13:19:59] - *Wikidata:* has 100M items, near 1B (?) triplets : those states and links are transparent a, willful, human readable. [13:20:01] - *LLM:* has 100s billions associative vectors christalizing 100s millions concepts in an non-readable, opaque, probabilistic way with hallucinations. [13:20:02] I think this first description will opens up important and very well timed questions. (re @Ideophagous: Perhaps, after learning about Wikidata basics, they could learn how to use the query service, then either build a Wikidata based...) [13:27:11] For the second part of your question, onboarding new technical contributors requires close 1-to-1 mentorship and us therefore tough to accomplish. [14:01:22] We also have the wonderful technical wishlists where, depending on the human resources you have (skills, human hours?), you could pick tools to fix or to create. [14:06:52] https://tools-static.wmflabs.org/bridgebot/18067ac3/file_73201.jpg [14:06:52] https://tools-static.wmflabs.org/bridgebot/9f945b93/file_73202.jpg [14:09:11] https://tools-static.wmflabs.org/bridgebot/5b74d55a/file_73203.jpg [14:10:19] https://tools-static.wmflabs.org/bridgebot/64baee8e/file_73204.jpg