Computational Engineering of Historical Memories
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...
में बचाया:
| मुख्य लेखक: | |
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| स्वरूप: | Online |
| भाषा: | अंग्रेज़ी |
| प्रकाशित: |
Taylor & Francis
2023
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| विषय: | |
| ऑनलाइन पहुंच: | ONIX_20230831_9781000802078_23 |
| टैग: |
कोई टैग नहीं, इस रिकॉर्ड को टैग करने वाले पहले व्यक्ति बनें!
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| _version_ | 1869516147118833664 |
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| author | Nanetti, Andrea |
| author_browse | Nanetti, Andrea |
| author_facet | Nanetti, Andrea |
| author_sort | Nanetti, Andrea |
| collection | Directory of Open Access Books |
| 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. |
| format | Online |
| id | doab-20.500.12854ir-121724 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | Taylor & Francis |
| publisherStr | Taylor & Francis |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1217242025-03-20T19:28:09Z 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. 2023-11-17T08:30:52Z 2023-11-17T08:30:52Z 2023-08-31T08:42:20Z 2023 book ONIX_20230831_9781000802078_23 OCN: 1331300127 https://library.oapen.org/handle/20.500.12657/75951 9781000802078 9781032316802 9781003310860 9781032316819 https://directory.doabooks.org/handle/20.500.12854/121724 eng open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/75951/1/9781000802078.pdf https://library.oapen.org/bitstream/20.500.12657/75951/1/9781000802078.pdf https://library.oapen.org/bitstream/20.500.12657/75951/1/9781000802078.pdf https://library.oapen.org/bitstream/20.500.12657/75951/1/9781000802078.pdf Taylor & Francis Routledge 10.4324/9781003310860 10.4324/9781003310860 fa69b019-f4ee-4979-8d42-c6b6c476b5f0 e409757c-996d-49d4-9964-b3091fe3d39b 9781000802078 9781032316802 9781003310860 9781032316819 Routledge 186 [...] open access |
| spellingShingle | History General and world history Nanetti, Andrea Computational Engineering of Historical Memories |
| title | Computational Engineering of Historical Memories |
| title_full | Computational Engineering of Historical Memories |
| title_fullStr | Computational Engineering of Historical Memories |
| title_full_unstemmed | Computational Engineering of Historical Memories |
| title_short | Computational Engineering of Historical Memories |
| title_sort | computational engineering of historical memories |
| topic | History General and world history |
| topic_facet | History General and world history |
| url | ONIX_20230831_9781000802078_23 |
| work_keys_str_mv | AT nanettiandrea computationalengineeringofhistoricalmemories |