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Urban agglomerations are constantly and rapidly evolving ecosystems, withglobalization and increasing urbanization posing new challenges in sustainableurban development well summarized in the United Nations' SustainableDevelopment Goals (SDGs). The advent of the digital age generated by modernalternative data sources provides new tools to tackle these challenges withspatio-temporal scales that were previously unavailable with census statistics.In this review, we present how new digital data sources are employed to providedata-driven insights to study and track (i) urban crime and public safety; (ii)socioeconomic inequalities and segregation; and (iii) public health, with aparticular focus on the city scale.

Inequality, Crime and Public Health: A Survey of Emerging Trends in Urban Data Science