Towards Algorithmic Fairness in Space-Time: Filling in Black Holes. (arXiv:2211.04568v1 [stat.AP])

New technologies and the availability of geospatial data have drawn attention
to spatio-temporal biases present in society. For example: the COVID-19
pandemic highlighted disparities in the availability of broadband service and
its role in the digital divide; the environmental justice movement in the
United States has raised awareness to health implications for minority
populations stemming from historical redlining practices; and studies have
found varying quality and coverage in the collection and sharing of open-source
geospatial data. Despite the extensive literature …

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