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Análisis intersectorial para la ciencia y la tecnología

Mathias Wullum Nielsen1, Elena Gissi2,3, Shirin Heidari4

  • 1Department of Sociology, University of Copenhagen, Copenhagen, Denmark.

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|April 9, 2025
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Resumen
Este resumen es generado por máquina.

La interseccionalidad, que examina las desigualdades sociales superpuestas, puede mejorar la precisión y la eficiencia científicas. Este estudio proporciona directrices para la integración del análisis cuantitativo interseccional en la investigación en ciencias naturales y tecnología.

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Área de la Ciencia:

  • Ciencias Naturales y Tecnología
  • Ciencias sociales
  • Salud pública

Sus antecedentes:

  • La interseccionalidad analiza los sistemas interdependientes de desigualdad en categorías sociales como la raza, el género y la clase.
  • El análisis interseccional actual se utiliza principalmente en humanidades, ciencias sociales y salud pública.
  • Este enfoque puede mejorar la precisión científica y la eficiencia experimental al considerar los efectos sociales compuestos.

Objetivo del estudio:

  • Extender los métodos de análisis interseccional a los campos de las ciencias naturales y la tecnología.
  • Proporcionar directrices para investigadores, revistas y agencias de financiación para la integración sistemática.
  • Demostrar cómo el análisis cuantitativo interseccional puede aplicarse en todo el proceso de investigación.

Principales métodos:

  • Extraer métodos de diversos ejemplos globales y disciplinarios.
  • Demostrar el análisis cuantitativo interseccional en el establecimiento de prioridades de investigación, la formulación de preguntas, la recopilación de datos, el análisis y la interpretación.
  • Aplicar principios a áreas como el reconocimiento facial y la mitigación del impacto del cambio climático.

Principales resultados:

  • Métodos identificados para el análisis cuantitativo interseccional aplicable a las ciencias naturales y la tecnología.
  • Proporcionó un marco para la integración de enfoques interseccionales a lo largo del ciclo de vida de la investigación.
  • Se mostraron ejemplos de análisis interseccionales que mejoran los resultados de la investigación.

Conclusiones:

  • La integración sistemática del análisis interseccional puede mejorar la precisión científica.
  • Una mayor precisión en la investigación apoya políticas sociales y ambientales efectivas para la equidad y la sostenibilidad globales.
  • Este marco facilita una adopción más amplia de enfoques interseccionales en la ciencia y la tecnología.