Computational Perspectives on Social Good and Access to Opportunity
Rediet Abebe · 2018
Computational techniques show immense promise to both deepen our understanding of socioeconomic inequality and inform interventions to alleviate it. With the increased prevalence of collaborations across disciplines and the availability of large data-sets, there is a wealth of areas in which nuanced questions and novel techniques can reveal powerful observations and point towards innovative solutions. In this piece, we highlight ways for using algorithmic, computational, and network-based techniques, in conjunction with insights from the social sciences, to improve access to opportunity for historically disadvantaged and under-served communities. We underline opportunities for work at the interface of these disciplines using examples from health, housing, and economic inequality.