Computational History
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AI and History Conference
October 15-16, Johns Hopkins University, Baltimore, MD
Aug 25
•
Louis Hyman
6
4
AI in the Archive: Saving Time by Turning Photos into Structured Metadata
We’ve all been there: you spend a week at an archive taking hundreds, if not thousands, of photos of documents.
Aug 24
•
Aaron Freedman
11
3
1
The Experimental Method in History: continuous batching with oMLX and vLLM
Or, how you really, really need to play around with LLMs to optimize
Aug 4
•
Louis Hyman
6
3
July 2026
Claude on Cluster
Or how to use Claude to manage your university's cluster resources
Jul 24
•
Louis Hyman
4
1
Rapid, Serious, and Citable for Decades
Up with journals!
Jul 13
•
Sean Takats
and
Lauren Tilton
4
2
2
Why Computational Historians Need Wikidata
Over the past several months I extracted several hundred thousand biographical statements from two Victorian reference works, the Colonial Office List…
Jul 7
•
Jim Clifford
4
2
2
June 2026
Building a Publication Ecosystem for Computational History.
Up with Github! Why we created a site for Working Papers on Critical Search
Jun 29
•
Jo Guldi
and
Jim Clifford
9
3
5
The Secret Sauce
Or how to get Claude to run all those proprietary databases
Jun 24
•
Louis Hyman
6
7
1
I’m a doula, but also an AI doula
How I brought my communication experience to agentic coding
Jun 4
•
Ann Tropea
3
2
May 2026
On Magic Words
Or, how to make your tacit expertise useful for your AI work
May 26
•
Louis Hyman
1
2
Presidential Feelings
Using an LLM to measure executive vibes
May 18
•
Jacob Forward
2
2
Beyond Cherry-Picking: Scaling Historical Arguments
Why Historians Must Enter the Age of Big Claims
May 4
•
Jo Guldi
10
3
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