A digital humanities project on
Charles S. Peirce's manuscripts
Charles S. Peirce left a vast archive of manuscripts on semiotics, logic, and the philosophy of science — much of it still underexplored.
Advances in OCR/HTR, NLP, and knowledge graphs now make it possible to revisit this archive and surface new insights into Peirce's theory of signs and his universal categories.
We aim to build a curated, high-fidelity digital corpus of Peirce's manuscripts and analyze linguistic, conceptual, and diagrammatic patterns using AI-driven methods.
Moving Pictures of Thought: Extracting Visual Knowledge in Charles S. Peirce's Manuscripts with Vision-Language Models.
In T. Arnold, M. Fantoli, & R. Ros (Eds.), Anthology of Computers and the Humanities, vol. 3.
DOI →Orchestrating Cultural Heritage: Exploring the Automated Analysis and Organization of Charles S. Peirce's PAP Manuscript.
Proceedings of the 34th ACM Conference on Hypertext and Social Media.
DOI →