Computational Engineering of Historical Memories

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Title

Computational Engineering of Historical Memories

Subject

Computer Science, Humanities

Description

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.

Creator

Andrea Nanetti

Source

https://doi.org/10.4324/9781003310860

Publisher

Routledge

Date

26 September 2022

Contributor

ani

Rights

Nanyang Technological University Singapore

Relation

https://doi.org/10.4324/9781003310860

Format

pdf

Language

English

Type

textbook

Identifier

ISBN 9781003310860

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