AndreaNanetti
Computational Engineering of Historical Memories: With a Showcase on Afro-Eurasia (ca 1100-1500 CE)
Computational Engineering of Historical Memories: With a Showcase on Afro-Eurasia (ca 1100-1500 CE)
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- More about Computational Engineering of Historical Memories: With a Showcase on Afro-Eurasia (ca 1100-1500 CE)
Nanetti develops an interdisciplinary methodology to deploy AI and ML to enhance historical research, making history a computational discipline through philological accuracy, historical scholarship, and computational tools.
Format: Hardback
Length: 164 pages
Publication date: 26 September 2022
Publisher: Taylor & Francis Ltd
Historical events hold immense value as the treasured experiences of human societies, serving as the pillars of resilience and the expressions of their unique identities. In this pursuit, Dr. Nanetti has emerged as a trailblazer, crafting and refining an interdisciplinary methodology rooted in practice-based research. This groundbreaking pathway bridges the gap between historical and computer sciences, paving the way for the design and construction of computational structures capable of analyzing how societies construct narratives about historical events. The ultimate goal of this consilience pathway is to make historical memory accessible and understandable to machines. By seamlessly blending philological accuracy, historical scholarship, history-based media projects, and cutting-edge computational tools, Nanetti transforms history into a computational discipline. This interdisciplinary approach offers a holistic perspective, enriching our understanding of the past while also shaping the future of digital humanities.
Dr. Nanetti presents the theoretical underpinnings of this methodology from a humanities lens, delving into its practical applications in user interface and experience. This book is a must-read for historians and scholars engaged in the digital humanities, as it offers invaluable insights and methodologies for exploring the rich tapestry of human history through the lens of computational analysis.
Dimension: 216 x 138 (mm)
ISBN-13: 9781032316802
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