All Data Are Local
Explore how data are made, situated, interpreted, and communicated.
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Good questions.
Practical skills.
Open resources for students, instructors, and anyone curious about data, AI, and historical research.
Critical AI Literacy for Historians
Develop critical approaches to AI through source criticism, documentation, and historical research practice.
UniDistance.ch, MA in Historical Sciences
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Stochastic Parrots and Beyond
Examine the normative dimensions of generative AI and what they mean for scholarly work.
University of Basel, GRACE · With Laura Wagner
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Decoding Inequality
Examine how machine learning systems can reinforce social inequality, and how to design them more fairly.
University of Bern, Digital Humanities · With Rachel Huber · In German
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GitHub as a Project Management Tool
Plan, document, and share a research project with GitHub Issues, Projects, and pull requests.
University of Bern, Digital Humanities
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The Corpus as a Network
Turn a corpus of source documents into a graph with natural language processing and social network analysis.
University of Bern, Digital Humanities · Lecture series Einblicke in die Digital Humanities
View the slidesStart with a question. Follow it into the materials. Each course website contains the full resources. See the complete teaching record.