World Bank Data Science Competition 2018
The World Bank is aiming to end extreme poverty by 2030. Crucial to this goal are techniques for determining which poverty reduction strategies work and which ones do not. But measuring poverty reduction requires measuring poverty in the first place, and it turns out that measuring poverty is pretty hard.
The World Bank helps developing countries measure poverty by conducting in-depth household surveys with a subset of the country’s population. To measure poverty, most of these surveys collect detailed data on household consumption – everything from food and transportation habits to healthcare access and sporting events – in order to get a clearer picture of a household’s poverty status.
Can you harness the power of these data to identify the strongest predictors of poverty? Right now measuring poverty is hard, time consuming, and expensive. By building better models, they can run surveys with fewer, more targeted questions that rapidly and cheaply measure the effectiveness of new policies and interventions. The more accurate our models, the more accurately they can target interventions and iterate on policies, maixmizing the impact and cost-effectiveness of these strategies.
Bonus Award: Top Contributor from Developing Country
In the spirit of thinking globally and acting locally, they’re offering a bonus prize of $2,500 to the top contributor from a developing country.
Data Driven Organisation partners at the World Bank Group have identified 84 qualifiying countries, which can be found here under the “LOW-INCOME ECONOMIES ($1,005 OR LESS)” and “LOWER-MIDDLE-INCOME ECONOMIES ($1,006 TO $3,955)” headings. If you or the majority of your team hold an official ID from one of these countries, you’re eligible! Just make sure to fill out the
Your Country field on the submission page to officially be considered for the prize.
Deadline: 28th February 2018