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.