Big Data in History
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Beschreibung
Big Data in History introduces the project to create a world-historical archive, tracing the last four centuries of historical dynamics and change. Chapters address the archive's overall plan, how to interpret the past through a global archive, the missions of gathering records, linking local data into global patterns, and exploring the results.
Autor*in
P. Manning
Themen in »Big Data in History«
Aggregation crowd sourcing datasets global archive historical dynamics human-natural interaction information science social-science data social-science theory supercomputing visualization world history Big Data dynamics history