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Intersectional analysis for science and technology.

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Summary
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Intersectionality, which examines overlapping social inequalities, can improve scientific accuracy and efficiency. This study provides guidelines for integrating quantitative intersectional analysis into natural science and technology research.

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Area of Science:

  • Natural Science and Technology
  • Social Sciences
  • Public Health

Background:

  • Intersectionality analyzes interdependent systems of inequality across social categories like race, gender, and class.
  • Current intersectional analysis is primarily used in humanities, social sciences, and public health.
  • This approach can enhance scientific accuracy and experimental efficiency by considering compounded social effects.

Purpose of the Study:

  • To extend intersectional analysis methods into natural science and technology fields.
  • To provide guidelines for researchers, journals, and funding agencies for systematic integration.
  • To demonstrate how quantitative intersectional analysis can be applied across the research process.

Main Methods:

  • Extracting methods from diverse global and disciplinary examples.
  • Demonstrating quantitative intersectional analysis in research priority setting, question formulation, data collection, analysis, and interpretation.
  • Applying principles to areas like facial recognition and climate change impact mitigation.

Main Results:

  • Identified methods for quantitative intersectional analysis applicable to natural science and technology.
  • Provided a framework for integrating intersectional approaches throughout the research lifecycle.
  • Showcased examples of intersectional analysis enhancing research outcomes.

Conclusions:

  • Systematic integration of intersectional analysis can improve scientific precision.
  • Enhanced precision in research supports effective social and environmental policies for global equity and sustainability.
  • This framework facilitates broader adoption of intersectional approaches in science and technology.