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This article presents an overview of the recent literature on gendered patterns of academic choice in mathematics, science, and technology. It distinguishes in this literature microlevel, macro-level, and institutional explanations. Micro-level explanations focus primarily on psychological constructs, that is, variables at the level of the individual students. Macro-level explanations focus primarily on socioeconomic conditions and cultural understandings of gender roles. Institutional explanations focus on design characteristics of (national) education systems. After a presentation of these perspectives and of recent research progress that has been made, the authors critically discuss the lacunae that still exist in explaining cross-national variety, and provide suggestions for designing future research in this field.

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Authors of a new report have examined the use of gender quotas to increase the number of women at the highest career levels in academia. “Exploring quotas in academia”, a report of a study conducted by EMBO in collaboration with the Robert Bosch Stiftung, looks at the potential benefits and challenges that could arise from the use of quotas as one way to achieve better gender balance in academia. The report describes options for introducing quotas and provides information for decision makers who might consider implementing them.

After conducting interviews with a wide range of stakeholders, the authors organized a closed workshop in Berlin, where options for the use of gender quotas were analyzed. The working group included gender researchers, heads of research institutes, funders and scientists. They discussed measures such as cascade models for hiring, quotas for the composition of committees, and equal success rates in funding schemes.

“There will be no perfect system to assure gender balance in academia and other research organizations,“ said Michele Garfinkel, Manager of the EMBO Science Policy Programme. “Some administrators and politicians may want to use quotas but this is not straightforward,” added Sandra Bendiscioli, Programme Officer. “Quotas require sensitive implementation. Moreover, they are not sufficient. Further changes in academic settings are necessary to assure that everyone has a fair chance.” 

“The cascade model can be an effective type of quota setting,” commented Gerlind Wallon, EMBO Deputy Director. The cascade model envisages flexible quotas for female participation at various levels: The quota is calculated on the percentage of women at the level immediately below. “This seems a reasonable method that takes into account the number of available, qualified candidates. I would call this a smart quota,” added Wallon.

Quotas can produce an immediate increase of female representation in higher academic positions. Quotas, however, do not address two fundamental problems: significantly more men than women choose scientific and/or technology-based careers in the first place and, if women do choose this path, they tend to leave academia early.

Ingrid Wünning-Tschol, Senior Vice-President at the Robert Bosch Stiftung: “Gender inequality is a critical issue in academia. To increase the number of women at the highest career levels, every possible solution should be considered. Quotas are one potentially powerful option”.

A full list of participants in the project is available in the report. Gerlind Wallon, Sandra Bendiscioli and Michele Garfinkel from EMBO are the authors of the final report.

Exploring quotas in academia was funded by a grant from the Robert Bosch Stiftung.

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The aim of this research synthesis is to present a brief overview of recent literature explaining gendered fields of study patterns, to critically assess recent scientific progress in this field and to identify subsequent policy implications. 

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The Global Gender Gap Index 2015 ranks 145 economies according to how well they are leveraging their female talent pool, based on economic, educational, health-based and political indicators. With a decade of data, this edition of the Global Gender Gap Report – first published in 2006 – shows that while the world has made progress overall, stubborn inequalities remain.

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English
Date created: 
2015
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2015
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