Beth Fischer @scribeth

Digital medieval art history (pick 2+ at any given moment). Digital Humanities Postdoc at Williams College Museum of Art. Writing: https://t.co/AhfYvpZotD Joined April 2016

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Beth Fischer @scribeth

3 years ago

Can confirm that @KRingelberg and co are lovely to work with and be humans with, and that your pedagogy will change for the better when you teach alongside them.

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@arthistoryelon.bsky.social @ArtHistoryElon

3 years ago

Art History @elonuniversity has opened a search for a 1-year limited term faculty member w/ a preference for expertise in the Global South or/and ancient art/archeology. ARH@Elon challenges canonical art history and imagines a better way forward! Join us! docs.google.com/document/d/1r2…

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David Newbury @workergnome

3 years ago

This is a lot, so we asked the amazing @johnrladd to develop tutorials on how to use these APIs, and he wrote three @observablehq notebooks showing what's possible—from basic tombstone data to machine learning: observablehq.com/@jrladd/linked…

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Anna Kijas @anna_kijas

4 years ago

Join me for a virtual data rescue session focused on music collections at cultural heritage institutions in Ukraine which may be at risk during the attack by Russia. For more info & to participate go to bit.ly/datarescueforUA (@achdotorg @aseeestudies) Share widely!

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Beth Fischer @scribeth

4 years ago

I am so appreciative of DaliaRuth Halperin's color-coded diagrams of the Masoretic texts here — a great quick data visualization that makes the patterns and structures so clear. #OTST22

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Beth Fischer @scribeth

4 years ago

Curious about why the Wikipedia NFT sale is listed as a “digital sculpture” as opposed to, say, a “digital architectural fragment” or something. onlineonly.christies.com/s/birth-wikipe…

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Digital Humanities Centre | Lancaster University @LancsDigHum

4 years ago

We're looking forward to welcoming @hannahljnc & @scribeth at our next #DHangout, speaking about 'Visualizing Objects, Places, and Spaces: A Digital Project Handbook'🧩🧑‍🤝‍🧑📖 🗓️24/11, 3pm GMT 🗒️Details: lancaster.ac.uk/history/events… 🔗Join: teams.microsoft.com/l/meetup-join/… #DigitalHumanities

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Beth Fischer @scribeth

4 years ago

The theme of the Digital Medieval Manuscript expert meeting could be "the human in the digital manuscript." We've moved from crediting collaborators to interfaces that highlight physical experience to how to help students use digital models in a rich way. …ts-and-technology.wp.st-andrews.ac.uk/2021/09/27/the…

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Beth Fischer @scribeth

4 years ago

Just a reminder that Williams is hiring a data science librarian — apply ASAP for full consideration! Master's degree required but paths outside the MLIS are warmly welcomed. library.williams.edu/2021/08/04/job…

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Beth Fischer @scribeth

4 years ago

.@thomasgpadilla calls on us to recognize maintenance as a critical form of innovation, and to prioritize the amount of time/labor going into maintenance, not just scaling up all the time. #AEOLIAN_Network

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Beth Fischer @scribeth

4 years ago

Good to hear from @thomasgpadilla, who questions the values that appear in papers about machine learning and AI and advocates for NON-scalability as a need in ethical approaches. #AEOLIAN_Network

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Beth Fischer @scribeth

4 years ago

Love the output, including lesson plans, browsable law texts, code and extensive workflow details (and looking forward to the workshops on the process). @gislibrarian's presentation was a master class in talking about the expertise needed to create training sets. #Aeolian_network

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Beth Fischer @scribeth

4 years ago

Very active Q&A at #Aeolian_Network. Love the question in the chat about how close we are to making machine learning projects accessible to non-digital-expert staff for day to day use.

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Beth Fischer @scribeth

4 years ago

At #Aeolian_Network, @stackkr discusses how knowledge graphs and a data development process integrating machine learning can challenge the hierarchies and categories of cultural heritage cataloguing, but lacks needed contextualization.

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Beth Fischer @scribeth

4 years ago

Enjoyed @ChapBookPro's discussion of the mistakes their ML model made in identifying images in chapbooks (provenance stamps, marginalia, a dogeared page — ) and how we can exploit the "thinking" behind them for new projects. #Aeolian_Network