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Related Experiment Videos

"Big data" in economic history.

Myron P Gutmann1, Emily Klancher Merchant2, Evan Roberts3

  • 1Department of History and Institute of Behavioral Science, University of Colorado.

The Journal of Economic History
|May 2, 2018
PubMed
Summary
This summary is machine-generated.

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Economic historians are leveraging big data for more precise analysis of population and environmental trends. New data sources like organic economic data and high-resolution images offer further research potential.

Area of Science:

  • Economic History
  • Digital Humanities

Background:

  • Traditional economic history relies on scarce, manually processed historical data.
  • Big data presents new opportunities to overcome these limitations.

Purpose of the Study:

  • To examine the application of big data in economic history, focusing on population and environment.
  • To explore novel big data sources for historical economic research.

Main Methods:

  • Utilizing increased observation frequency, denser samples, and smaller geographic units.
  • Analyzing organically created economic data, high-resolution imagery, and textual corpora.

Main Results:

  • Big data enables more precise analysis of past population and environmental dynamics.

Related Experiment Videos

  • Researchers can track individuals, places, and phenomena with greater temporal and spatial resolution.
  • Conclusions:

    • Big data significantly enhances the precision and scope of economic history research.
    • Emerging data sources promise to further revolutionize the field.