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"Big Data in History" introduces a project to create a world-historical archive that will trace the last four centuries of historical dynamics and change. The archive will link research on social, economic, and political affairs, plus health and climate, for societies throughout the world. The care, detail, and advanced technology that go into building such an archive are outlined in this book, and the benefits of gathering and disseminating data from our long history are clearly mapped out. Chapters address the archive's overall plan, how to interpret the past through a global archive, how to organize historical research on five continents, and the missions of gathering widespread records, linking local data into global patterns, and exploring the results. The concluding chapters summarize project plans and compare it with two major and successful projects in worldwide data: the modelling of climate and documenting the human genome.
This book outlines a ambitious project to construct a comprehensive world-historical archive, aiming to map global dynamics and change over the past four centuries. The archive seeks to integrate research across social, economic, political, health, and climate affairs for societies worldwide. Manning details the meticulous care, advanced technology, and strategic planning involved in building this repository of historical data. The book elucidates the profound benefits of collecting and disseminating information from humanity's extensive past, detailing the organization of research across five continents and the methods for linking local data into global patterns.
The book introduces a significant project in historical data aggregation, focusing on the methodology and potential of a world-historical archive. It details the scope of integrating diverse datasets from social, economic, political, health, and climate domains across continents. The text emphasizes the advanced technology and careful planning required for such an undertaking. The approach suggests a dense, data-driven analysis aimed at scholars and researchers interested in large-scale historical patterns and quantitative history.
Page Count:
118
Publication Date:
2013-01-01
ISBN-10:
1137378964
ISBN-13:
9781137378965
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