Eurekometrics: Analyzing the Nature of Discovery
Author Information
Author(s): Samuel Arbesman, Nicholas A. Christakis
Primary Institution: Harvard Medical School
Hypothesis
Can a new approach to scientometrics, termed eurekometrics, provide deeper insights into scientific discovery?
Conclusion
Eurekometrics allows for a more nuanced understanding of scientific discovery by examining the properties of discoveries themselves rather than just the publications about them.
Supporting Evidence
- Eurekometrics can help predict future discoveries based on the properties of past discoveries.
- The study highlights the potential of automated science to generate large amounts of discovery data.
- Examples of eurekometrics include analyzing the properties of mammalian species and chemical elements.
Takeaway
This study looks at how we can better understand discoveries in science, not just by counting papers, but by looking at what was actually discovered and how hard it was to find.
Methodology
The study proposes a new approach to scientometrics that focuses on the properties of scientific discoveries using new types of data.
Limitations
Determining what constitutes a 'discovery' is complex and quantifying properties of discoveries can be challenging.
Digital Object Identifier (DOI)
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