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.
Director
Fellow
Doctoral Researcher