Object Detection and Analysis in Historical Sources
The project concerns theoretical developments in the field of Machine Learning and, in particular, with reference to both the field of Computer Vision and the study of Graph Neural Networks. The research is applied to historical data through which it is possible to gain historical insights concerning the evolution of scientific thought during the early modern period and thus mechanisms of knowledge economy.
Explainable AI illuminates the course of history
Understanding the evolution and dissemination of human knowledge over time is a long-cherished dream of many historians. A dream that faced many challenges due to the abundance of historical materials and limited specialist resources. However, the digitization of many historical archives presents new opportunities for AI-supported analysis.
Director
Fellow
Doctoral Researcher