In a world more connected and digitalized than ever, the steadily growing availability of data—along with the advances in fields such as data science, complex systems, artificial intelligence, and computational sociology—has profoundly changed businesses such as marketing and advertising and revolutionized related areas such as political campaigns or governance. Manuel García-Herranz explains how to leverage these advances for the most vulnerable, while making sure that the existing data divide does not increase the gap in inequality, and integrate these advances into the humanitarian and development systems.
Manuel García-Herranz is the chief scientist at UNICEF’s Office of Innovation, where he focuses on bridging the gap between data science and the most vulnerable, exploring how to apply big data, complex systems theory, and AI to help the most deprived and invisible, from addressing growing humanitarian problems such as epidemics, natural disasters, and migration and transversal issues such as monitoring development indicators, data representativeness, and the inclusion of inequality concepts in the body of computer science theories. Manuel holds a PhD in computer science from the Universidad Autónoma de Madrid.
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