John Russell
@johnruss28.bsky.social
890 followers 530 following 77 posts
Associate librarian at Penn State, associate director of the Center for Virtual/Material Studies
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Reposted by John Russell
There's a big report out today from Cambridge University Press about transitioning to open access and the broader academic changes needed. Interested in the language they choose to adopt for this: "radical", "collective action", and lots of "diamond" talk within.

www.cambridge.org/core/service...
A poster for CUP's report, titled "Radical reform and collective action needed to secure future of academic publishing"
Reposted by John Russell
for all of my #dhmakes peeps: super excited about this new journal interlace-journal.org It builds on some of the fantastic work from Sarah-Marie Belcastro and Carolyn Yackel: www.toroidalsnark.net/mkbook.html 🧵🪡 💻
Interlace home page
Interlace: A Journal of Mathematics and Fiber Arts
interlace-journal.org
Reposted by John Russell
Hiring 🚨 Part-time position 🚨 Remote - Research Fellow @ Dark Lab. Here’s your chance to build your experience as a humanities researcher while supporting my Lab’s mission of environmental justice & storytelling, centering the crossroads of stolen life & stolen land. 🧵
Must be something on my end. Looks like a great resource and I've sent the link to our subj specialist
I get 403 Forbidden on all the links I've clicked
Reposted by John Russell
During this period of open peer review of the Living w/Machines book, 2 new chapters are available:

1. MapReader - a deep cut on the epistemological shift it offers for computational map studies

2. Environmental Scan - a method for digital source criticism at scale

#skystorians #dh #maps #histstm
Reposted by John Russell
New — I was fortunate to speak in front of students and faculty at Grinnell College in Iowa tonight about the business of independent journalism, the current state of media under Trump 2.0, and billionaire control.

I published my full speech because I thought it might resonate beyond campus:
Truth, morality and independence in journalism under the second Trump regime
My full remarks to students and faculty at Grennell College.
www.thehandbasket.co
I can’t believe you never told me!
I will have to investigate and maybe move meetings there
I work here and did not know this! This should be part of new employee orientation
something no one mentions about Penn State is that there is a fully articulated skeleton of the mule that helped build the original buildings in the student union
Reposted by John Russell
If you work with historical newspaper data, check out @matthewkollmer.com’s tutorial for generating image clippings—sections of the full page—based on text & coordinate data. Matthew’s been doing yeoman’s work figuring this in for a forthcoming exhibit for our Virality of Racial Terror project
If you, like me, sometimes need to generate thousands of clipping images from Chronicling America, then you may find this post helpful.

It provides my pipeline (code and explanatory text) for programmatically generating newspaper clipping images via the Chronicling America API.
How to Create Newspaper Clipping Images in Chronicling America, Programmatically – Matthew Johannes Kollmer
matthewkollmer.com
Reposted by John Russell
New preprint 🌟 Psychology is core to cognitive science, and so it is vital we preserve it from harmful frames. @irisvanrooij.bsky.social & I use our psych and computer science expertise to analyse and craft:

Critical Artificial Intelligence Literacy for Psychologists. doi.org/10.31234/osf...

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Cover page of Guest, O., & van Rooij, I. (2025, October 4). Critical Artificial Intelligence Literacy for Psychologists. https://doi.org/10.31234/osf.io/dkrgj_v1 Table 1 Guest, O., & van Rooij, I. (2025, October 4). Critical Artificial Intelligence Literacy for Psychologists. https://doi.org/10.31234/osf.io/dkrgj_v1 Table 2 Guest, O., & van Rooij, I. (2025, October 4). Critical Artificial Intelligence Literacy for Psychologists. https://doi.org/10.31234/osf.io/dkrgj_v1
This uses a MARC dataset shared by a Penn State cataloger
New @hf.co BigLAM dataset: 9,363 OA books with page images + rich MARC metadata for evaluating (and training) VLMs on metadata extraction.

Libraries are starting to explore AI-assisted cataloguing, but we lack public evaluation data. Hoping this helps fill that gap.

huggingface.co/datasets/big...
Screenshot of the dataset viewer showing a column of marc data + the first few pages of an open access monograph
Reposted by John Russell
People of Print: Eighteenth-Century England is out today and free to download until 7 Oct:

www.cambridge.org/core/element...

Edited by Rachel Stenner, Kaley Kramer & I, this volume collects 10 new biographical essays about lesser known, diverse figures involved in the #18C print trade.
The People of Print
Cambridge Core - Printing and Publishing History - The People of Print
www.cambridge.org
Reposted by John Russell
I was part of a working group on AI and Fraternity assembled by the Vatican. We met in Rome and worked on this over two days. I am happy to share the result of that intense effort: a Declaration we presented to the Pope and other government authorities

coexistence.global
In this spirit of fraternity, hope and caution, we call upon your leadership to uphold the following principles and red lines to foster dialogue and reflection on how AI can best serve our entire human family:

    Human life and dignity: AI must never be developed or used in ways that threaten, diminish, or disqualify human life, dignity, or fundamental rights. Human intelligence – our capacity for wisdom, moral reasoning, and orientation toward truth and beauty – must never be devalued by artificial processing, however sophisticated. 

    AI must be used as a tool, not an authority: AI must remain under human control. Building uncontrollable systems or over-delegating decisions is morally unacceptable and must be legally prohibited. Therefore, development of superintelligence (as mentioned above) AI technologies should not be allowed until there is broad scientific consensus that it will be done safely and controllably, and there is clear and broad public consent.

    Accountability: only humans have moral and legal agency and AI systems are and must remain legal objects, never subjects. Responsibility and liability reside with developers, vendors, companies, deployers, users, institutes, and governments. AI cannot be granted legal personhood or “rights”. 

    Life-and-death decisions: AI systems must never be allowed to make life or death decisions, especially in military applications during armed conflict or peacetime, law enforcement, border control, healthcare or judicial decisions.
    Independent testing and adequate risk assessment must be required before deployment and throughout the entire lifecycle.
    Stewardship: Governments, corporations, and anyone else should not weaponize AI for any kind of domination, illegal wars of aggression, coercion, manipulation, social scoring, or unwarranted mass surveillance. 

    Responsible design: AI should be designed and independently evaluated to avoid unintentional and catastrophic effects on humans and society, for example through design giving rise to deception, delusion, addiction, or loss of autonomy.  

    No AI monopoly: the benefits of AI – economic, medical, scientific, social – should not be monopolized. 

    No Human Devaluation: design and deployment of AI should make humans flourish in their chosen pursuits, not render humanity redundant, disenfranchised, devalued or replaceable. 

    Ecological responsibility: our use of AI must not endanger our planet and ecosystems. Its vast demands for energy, water, and rare minerals must be managed responsibly and sustainably across the whole supply chain.

    No irresponsible global competition: We must avoid an irresponsible race between corporations and countries towards ever more powerful AI.
Reposted by John Russell
Reposted by John Russell
The image embeddings notebook looks so good!
When I go on and on about how we should teach all undergrads, in every discipline, ML/AI, this is what I mean.

We don't need to, and quite frankly shouldn't, stick more black (chat) boxes in front of students to teach them about AI.
At long last, I can post my team's summer project: applied modules to teach how ML/AI tools are changing social science and humanities research: ubcecon.github.io/praxis-ubc/

Highlights:

LegalBERT to analyze anti/pro-immigrant sentiment in 19th c. BC law: ubcecon.github.io/praxis-ubc/d...
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