9781000802078.pdf
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...
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Taylor & Francis
2023
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oapen-20.500.12657-759512024-03-28T09:41:54Z Computational Engineering of Historical Memories Nanetti, Andrea History General and world history 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. 2023-08-31T08:42:20Z 2023-08-31T08:42:20Z 2023 book ONIX_20230831_9781000802078_23 9781000802078 9781032316802 9781003310860 9781032316819 https://library.oapen.org/handle/20.500.12657/75951 eng application/pdf n/a 9781000802078.pdf Taylor & Francis Routledge 10.4324/9781003310860 10.4324/9781003310860 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb e409757c-996d-49d4-9964-b3091fe3d39b 9781000802078 9781032316802 9781003310860 9781032316819 Routledge 186 [...] open access |
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OAPEN |
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English |
| 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. |
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9781000802078.pdf |
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9781000802078.pdf |
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9781000802078.pdf |
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9781000802078.pdf |
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9781000802078.pdf |
| publisher |
Taylor & Francis |
| publishDate |
2023 |
| _version_ |
1799945241119162368 |
