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.
Peirce Interprets Peirce: Digitization, Automation, and Interpretation in Charles Peirce's Manuscripts.
In C. Marras, A. Pergola, & G. Salice (Eds.), Digitale e public engagement: Pratiche e prospettive nelle digital humanities. Atti del XV convegno annuale AIUCD (pp. 485–493). AIUCD.
DOI →Reconstructing Peirce's Trails of Thought: Multimodal Computational Analysis of Non-Linear Manuscript Composition.
In Proceedings of the 37th ACM Conference on Hypertext and Social Media (HT '26). Association for Computing Machinery.
ForthcomingMoving Pictures of Thought: Evaluating Vision-Language Models on Peirce's Existential Graphs.
Journal of Digital History. Advance online publication.
ForthcomingMoving 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 (pp. 1454–1467).
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 →