
Computational Engineering of Historical Memories
With a Showcase on Afro-Eurasia (ca 1100-1500 CE)
- 164 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Computational Engineering of Historical Memories
With a Showcase on Afro-Eurasia (ca 1100-1500 CE)
About this book
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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Information
Table of contents
- Cover Page
- Half-Title Page
- Endorsements Page
- Title Page
- Copyright Page
- Dedication Page
- Contents
- List of Figures
- List of Abbreviations
- Foreword
- Preface
- Acknowledgements
- 1 Computational Engineering of Historical Memories
- 2 Historians and Computers
- 3 History, Films, and Online Video Streaming
- 4 Languages and Cultures at the Computational Turn
- 5 EHM Showcase on Afro-Eurasia (ca 1100–1500 CE)
- Index