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Neue Lizenzen: Korea Pro

4. June 2026/in Aktuelles, Datenbanken/by CrossAsia

(English below)

Liebe Nutzer:innen,

Wir freuen uns, Ihnen mitteilen zu können, dass wir Korea Pro abonniert haben – eine Plattform mit englischsprachigen Nachrichtenartikeln und Analysen zur südkoreanischen Außenpolitik, Politik und Wirtschaft.

Zusammen mit unseren bestehenden Abonnements von NK News & Pro sowie KCNA Watch steht CrossAsia-Nutzerinnen und -Nutzern nun das vollständige Angebot der Korea Risk Group zur Verfügung.

Wir freuen uns über Ihr Feedback zu diesem neuen Abonnement.

Mit freundlichen Grüßen

Ihr / Euer

CrossAsia Team

 

Dear Users,

 

We are excited to announce that we have subscribed to Korea Pro, a platform providing English-language news articles and analysis on South Korea’s foreign policy, politics, and economy.

Together with our existing subscriptions to NK News & Pro and KCNA Watch, CrossAsia users can now access the full range of resources offered by Korea Risk Group.

We look forward to hearing from you if you have any feedback on this subscription.

 

Yours

CrossAsia team

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Link to: The 2026 European Network of Korean Resources Specialists Workshop, June 3–6 Link to: The 2026 European Network of Korean Resources Specialists Workshop, June 3–6 The 2026 European Network of Korean Resources Specialists Workshop, June 3... Link to: CrossAsia DH Lunchtalks – From Reading to Discovery: AI-Assisted Workflows for East Asian Historical Texts Link to: CrossAsia DH Lunchtalks – From Reading to Discovery: AI-Assisted Workflows for East Asian Historical Texts image source provided by Dr. What does it mean to be a historian in the age of AI? AI is not the first such shift. The digital turn quietly reshaped how historians work. It raised accessibility. A historian today starts a project at a search engine, pulls sources from a digital archive, and turns archive photographs into research data at home. As Ian Milligan puts it, “we are all digital now.” If the digital turn brought accessibility, AI brings something accessibility alone could not: machine reading at the scale of the archive itself. Why scale? Historical research moves through stages: reading, extracting, structuring, analyzing, visualizing, asking new questions. Each works on a single document but breaks at archive scale. The Annals of the Joseon Dynasty hold roughly 384,000 articles across five centuries. Reconstructing the careers of even one generation of officials requires linking and reasoning across more material than a single researcher can manage. In this talk I draw on several ongoing projects, including a vision-language model fine-tuned for Manchu and an agent-based record-linkage system across the Annals and the Bangmok (civil-examination rosters), to argue that AI does not replace any step in this sequence; it changes the scale at which each becomes possible. The Manchu model does not read more carefully than a Manchu specialist, but it makes an entire archive legible. The linkage system does not match identities more carefully than a historian by hand, but it tracks the same person across sources that no individual could reconcile end to end. Once reading, linkage, and structuring scale up, questions of a different order become askable: not one official’s career, but a generation’s; not one local pattern, but the structure of bureaucratic mobility across five centuries. The historian’s craft is unchanged; what changes is what becomes askable. To be a historian in the age of AI is to treat discovery, when the data itself begins to suggest the questions, as a stage of the craft.CrossAsia DH Lunchtalks – From Reading to Discovery: AI-Assisted Workflows...
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