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Economist Sendhil Mullainathan spoke at the Stanford Center on Global Poverty and Development () about the potential for machine learning technology to inform poverty alleviation policies. Citing examples that ranged from using cell phone data to predict evolving poverty maps and rain fall to algorithms that could inform incarceration policies, Mullainathan examined the possibility for using newly accessible data in ways that could have real word impact on work in global development.
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