[ Competition ] Posted on Tuesday, January 9, 2018 - 15:21
If you want to reduce poverty, you have to be able to identify the poor. But measuring poverty is difficult and expensive, as it requires the collection of detailed data on household consumption or income. We just launched a competition together with data science platform Driven Data, to help us see how well we can predict a household’s poverty status based on easy-to-collect information and using machine learning algorithms. The competition supplies a set of training data with anonymized... Read more
Deadline: Wednesday, February 28, 2018