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Correcting the bias against interdisciplinary research.

Ehud Shapiro1

  • 1Ehud Shapiro is at the Department of Computer Science and Applied Math and Department of Biological Chemistry, Weizmann Institute of Science, Rehovot, Israel ehud.shapiro@weizmann.ac.il.

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Summary

Current scientific evaluation tools favor established fields over interdisciplinary research. Recognizing this bias is crucial for fair funding and career advancement in science.

Keywords:
interdisciplinary researchpoint of viewscience policy and fundingscientific excellence

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Area of Science:

  • Scientific evaluation methodologies
  • Research funding and policy

Background:

  • Established scientific disciplines often receive preferential treatment in funding and career progression.
  • Current metrics for scientific excellence may not adequately capture the value of interdisciplinary research.

Purpose of the Study:

  • To highlight the inherent biases in current scientific evaluation tools.
  • To advocate for a more equitable assessment of interdisciplinary research.

Main Methods:

  • Analysis of existing scientific evaluation frameworks.
  • Review of funding and hiring practices in academia.

Main Results:

  • Most tools for assessing scientific excellence are biased.
  • These biases disproportionately benefit established disciplines.
  • Interdisciplinary research is disadvantaged by current evaluation metrics.

Conclusions:

  • The scientific community must acknowledge and address the biases in evaluation tools.
  • Revising assessment methods is essential for supporting innovation and collaboration across disciplines.