The AI for Humanists project is developing resources to enable DH scholars to explore how large language models and AI technologies can be used in their research and teaching. Find an annotated bibliography of research papers and tools, a glossary of relevant terms, code tutorials, and information about our workshops.
The purpose of the database Hypotheseis is to collect structured data regarding the ὑποθέσεις (hypotheseis) of progymnasmata and declamations in Greek (from the Hellenistic to the Byzantine age), including both the ὑποθέσεις of preserved rhetorical exercises and the ὑποθέσεις only cited in rhetorical manuals or other sources.
Platform for offering datasets and machine learning models. Currently, we have datasets and models for various tasks, such as object detection, HTR, and NER.
These datasets and models are maintained by William J.B. Mattingly
The AI for Humanists project is developing resources to enable DH scholars to explore how large language models and AI technologies can be used in their research and teaching. Find an annotated bibliography of research papers and tools, a glossary of relevant terms, code tutorials, and information about our workshops.
AGAPE is an open-access database which aims to map the reception of the Greek Church Fathers in print throughout early modern Europe. It represents the main outcome of the four-year FNS Ambizione project The Greek Imprint on Europe: Patristics and Publishing in the Early Swiss Reformation, led by Paolo Sachet and based at the Institut d’histoire de la Réformation, University of Geneva.
M. Springstein, S. Schneider, C. Althaus, and R. Ewerth. MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10 - 14, 2022, page 1107--1116. ACM, (2022)
D. Erdmann, and K. Vogel. Digital Turn und Historische Bildungsforschung. Bestandsaufnahme und Forschungsperspektiven, Julius Klinkhardt, Bad Heilbrunn, (2022)
V. Alexiev, and I. Nikolova. Data Sharing, Holocaust Documentation and the Digital Humanities. Best Practices, Benefits, Case Studies (DSDH 2017), Venice, Italy, (June 2017)