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My Teaching Is Not Gender Biased, Is It?

Authors: Mendoza‐Lera, Clara; Anton‐Pardo, Maria; Bartrons, Mireia; Benito‐Granell, Xavier; Bernal, Susana; Bohorquez Bedoya, Eliana; Cañedo‐Argüelles, Miguel; +11 Authors

My Teaching Is Not Gender Biased, Is It?

Abstract

Gender bias and underrepresentation in society are likewise pervasive in Science, Technology, Engineering, and Math fields and are difficult to balance out. In Aquatic Sciences, large efforts have been made to increase awareness on Diversity, Equity, Inclusion, and Justice and yet, gender- and diversity-gaps remain. Reducing these gaps requires work in different dimensions: individual, community, education, and society. As scientists, we can act at all those levels in various ways and one effective approach is through education. When teaching and supervising students we can be role models, actively, consciously, and explicitly including diverse and historically underrepresented scientists in our teaching material or creating an inclusive class environment. But, where to start?

CML participation at the conference was funded by the German Research Foundation (DFG, FlowReSet project ME 5498/2-1) and the work has been developed within the funding framework of NutFlows (ME 5498/3-1). AP was supported by the Beatriu de Pinós postdoctoral program under the Ministry of Research and Universities of the Government of Catalonia (Grant Reference No. 2020 BP-00237). PR-L and AF were supported by MCIN/AEI through the Juan de la Cierva - Incorporación program (IJC2019-041601-I and IJC2019-039181-I).

Peer reviewed

Country
Spain
Keywords

Gender bias, http://metadata.un.org/sdg/5, Achieve gender equality and empower all women and girls

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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