Minding the gap(s): The uneven gendering of engineering and computing work across Europe

This study investigates variability across 31 European countries in the gender composition of engineering and computing (“tech”) occupations, and possible sociocultural drivers of this variability. As previously documented for other STEM domains and geographies, the largest tech gender gaps are in the most affluent societies of Europe (which are also most postmaterialist and gender-liberal culturally). Multilevel regression models explore key attitudinal and socioeconomic predictors of this gender segregation that have been identified through previous comparative research. Results show that men, but not women, who espouse postmaterialist values have higher odds of working in engineering or computing, and that the gender-specific effects of postmaterialist values account for a substantial share of cross-country variability. Findings are consistent with research suggesting a heightened salience of gender math stereotypes to career aspirations in societies that valorize individual self-expression and “doing what you love.”

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Publication Details

Journal
International Journal of Comparative Sociology
Published
2025-09-23
DOI
https://doi.org/10.1177/00207152251372850
Primary Topic
Career Development and Diversity
Type
article
Field-Weighted Citation Impact
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article

Minding the gap(s): The uneven gendering of engineering and computing work across Europe

Maria Charles
International Journal of Comparative Sociology
Career Development and Diversity
article

Minding the gap(s): The uneven gendering of engineering and computing work across Europe

Maria Charles
article en

Abstract

This study investigates variability across 31 European countries in the gender composition of engineering and computing (“tech”) occupations, and possible sociocultural drivers of this variability. As previously documented for other STEM domains and geographies, the largest tech gender gaps are in the most affluent societies of Europe (which are also most postmaterialist and gender-liberal culturally). Multilevel regression models explore key attitudinal and socioeconomic predictors of this gender segregation that have been identified through previous comparative research. Results show that men, but not women, who espouse postmaterialist values have higher odds of working in engineering or computing, and that the gender-specific effects of postmaterialist values account for a substantial share of cross-country variability. Findings are consistent with research suggesting a heightened salience of gender math stereotypes to career aspirations in societies that valorize individual self-expression and “doing what you love.”

International Journal of Comparative Sociology
University of California, Santa Barbara (US)
Openalex Percentile: Top 74%
Career Development and Diversity
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