Filling the Gap Data collection is rarely unbiased,
default gender for many professions and
(Temin and Roca, 2016). Many societies
into our everyday lives. Experts need to
especially if it covers topics of gender
do not have enough representation of the
needs and rights of women (Criado-Perez, 2019). Whether it is data on how to treat
human experiences. This male bias is built gain perspectives of minority user groups
to provide equitable lifestyles for everyone.
heart attacks, car-crash dummy reactions
Some of the data needed to fill the
world is designed for men because the
Unfortunately, most of the data that does
or the way smartphones are used - the
world sees men as the default human. A
study done in Romania asked young school children in grades 3-5 to draw a scientist (Thomson et al., 2019). The results
concluded that no matter the gender of the child, they envisioned a white male
scientist (Thomson et al.). This is a brief
example of how society depicts men as the
gender data gap is already available.
exist is biased towards the experience of men. For example, Spain’s national
urban mobility survey of 2007 categorizes care work and paid employment trips with a male bias (Madariaga, 2013, p.38).
The data of employment trips are in one category and care work trips into seven
categories. To reiterate, men perform more
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