Nanetti outlines a methodology for deploying artificial
intelligence and machine learning to enhance historical research.
Historical events are the treasure of human experiences, the
heritage that societies have used to remain resilient and express
their identities. Nanetti has created and developed an
interdisciplinary methodology supported by practice-based research
that serves as a pathway between historical and computer sciences
to design and build computational structures that analyse how
societies create narratives about historical events. This
consilience pathway aims to make historical memory
machine-understandable. It turns history into a computational
discipline through an interdisciplinary blend of philological
accuracy, historical scholarship, history-based media projects, and
computational tools. Nanetti presents the theory behind this
methodology from a humanities perspective and discusses its
practical application in user interface and experience. An
essential read for historians and scholars working in the digital
humanities.
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