Can Machine Learning Improve Natural and Human Disaster Outcomes

There are more mobile phones than humans on earth. That presents a unique opportunity for big data and, more importantly, the insights from the data to be applied to greater social good. At this week’s PAPIs Connect—a predictive application programming interface (API) conference in Valencia, Spain—Nuria Oliver, the scientific director of Telefonica’s R&D program, spoke about how to adapt this data via machine learning. Today, we touch on two of the situations she presented where big data and machine learning gave insight into how governments can better address crises, whether it’s a natural disaster or a disease outbreak. Where Does All This Big Data Come From? In this piece we aren’t talking about personalized data or even that which we’re offering via our social media accounts. Rather, this research focused…

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