#DigitalHistory #STS #NLP #SNA #OpenScience #HistoryOfComputing #CriticalAIStudies #FAIR #CARE
👨🏻💻 moritzmaehr.ch 🙇🏻♂️
bsky
mastodon 🧜🏻♂️ he/him
Dr. sc. ETH Zurich Moritz Mähr is an associate researcher in digital humanities at the University of Bern and an information and library science specialist with Research Analytics Services at the ETH Zurich. Until 2025, he was the project manager of Stadt.Geschichte.Basel at the University of Basel and a visiting research fellow at the Luxembourg Centre for Contemporary and Digital History (C²DH), University of Luxembourg. His research bridges digital history, science and technology studies, and open research infrastructure.
His current agenda spans five areas:
- 🧠 Digital Source Criticism in the Age of AI – circumvent algorithmic bias in digitised and born-digital collections.
- 🌐 Critical AI Studies in Digital Humanities & Digital History – audit studies, dataset ethnography, and reproducible workflows for bias-aware metadata and FAIR/CARE-aligned infrastructures.
- 🗃️ Histories of Digitisation – history of the digitization of Swiss migration regime.
- 🏛️ Public History Infrastructure – low-barrier, open-source platforms like Stadt.Geschichte.Basel for FAIR/CARE storytelling and data reuse.
- 🌱 Digital Sustainability – embedding reproducibility, inclusivity, and ethical longevity into all scholarly workflows.
Moritz studied history, philosophy of knowledge, computer science, and banking and finance in Zurich and Berlin. He received his doctorate from ETH Zurich for his dissertation on the digitization of Swiss migration authorities in the 1960s. His research operationalizes Open Science principles in digital history through reproducible methods, interoperable infrastructures, and participatory governance.
I’m always looking for thoughtful collaborators in digital history, STS, research infrastructure, and critical AI studies. If you’re building collections, writing code, or rethinking scholarly workflows—let’s connect.
You’re welcome to fork, open issues, or submit pull requests on any pinned repositories. Contributions, ideas, and provocations are all welcome.
- Decoding Inequality: Critical Perspectives on Machine Learning
- Prompting Methods for Historians with ChatGPT
- Corpus-as-Network: NLP + Graphs in Historical Research
Full teaching history is on my website.
Active member of:
- OpenData.ch
- Digital History Network Switzerland
- Swiss Academies ORD Sounding Board Researchers
- Digital Society Initiative, University of Zurich
Keep building, keep questioning, and never stop examining how our digital tools shape what we know—and forget—about the past.