Gender Data gap
The use of artificial intelligence, computer learning and apps are
becoming normal in the design, construction, operation and maintenance
phases of our infrastructure. For this reason, it is increasingly
important that we make sure our technologies are inclusive and relevant
for all its users.
The transportation infrastructure domain is today still predominantly
'male' and 'masculine' which reflects in an unbalanced workforce and may result
in organizational structures and technological solutions that are optimized
towards the male perspective.
With the increase of digitization a general
increase in data dependency occurs which may further aggravate the risk that
the transportation infrastructure field is optimized for only half the
population.