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JenaTron - An Experimental Approach to Study the Effects of Plant History and Soil History on Grassland Ecosystem Functioning
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Predicting history.

Joseph Risi1, Amit Sharma2, Rohan Shah2

  • 1Microsoft Research New York, New York, NY, USA.

Nature Human Behaviour
|June 5, 2019
PubMed
Summary
This summary is machine-generated.

Predicting historical significance is challenging; events deemed important in the future often go unnoticed today. Machine learning models struggle to accurately identify historic documents in large archives, highlighting the difficulty of predicting significance.

Area of Science:

  • Computational Social Science
  • Digital Humanities
  • Historical Informatics

Background:

  • Assessing the historical significance of contemporary events is inherently predictive.

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  • Philosophical arguments suggest such claims are often spurious.
  • Many historically significant events are overlooked at the time of occurrence.