At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO.
To change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers. Against this background, Frontiers in Research Metrics and Analytics is proud to offer this platform to promote the work of women scientists across the fields of research assessment and computational research literature analysis.
This editorial initiative of particular relevance is led by Specialty Chief Editor Zaida Chinchilla-Rodríguez, and editorial board members María-Antonia Ovalle-Perandones, Melissa Anne Haendel, Bridget McInnes, and Susan McRoy.
The work presented here highlights the diversity of research performed across the entire breadth of research assessment and computational research literature analysis, and presents advances in theory and methodology with applications to compelling problems.
Please note: to be considered for this collection, the first or last author should be a researcher who identifies as a woman.
At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO.
To change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers. Against this background, Frontiers in Research Metrics and Analytics is proud to offer this platform to promote the work of women scientists across the fields of research assessment and computational research literature analysis.
This editorial initiative of particular relevance is led by Specialty Chief Editor Zaida Chinchilla-Rodríguez, and editorial board members María-Antonia Ovalle-Perandones, Melissa Anne Haendel, Bridget McInnes, and Susan McRoy.
The work presented here highlights the diversity of research performed across the entire breadth of research assessment and computational research literature analysis, and presents advances in theory and methodology with applications to compelling problems.
Please note: to be considered for this collection, the first or last author should be a researcher who identifies as a woman.
