Computational Perspectives on Social Good and Access to Opportunity
Rediet Abebe, Cornell University
Computational techniques show immense promise to both deepen our understanding of socioeconomic inequality and inform interventions aimed at mitigating it. With the increasing collaborations across disciplines and the availability of large data-sets, there is a wealth of areas where nuanced questions and novel techniques can reveal powerful observations and propose innovative solutions. My research focuses on this interface of algorithms, artificial intelligence, and applications to social good. In particular, I use algorithmic, computational, and network-based insights to study under-explored facets of inequality and provide solutions for effective interventions for improving access to opportunity.