DAT102x: Predicting Chronic Hunger
Hosted By Microsoft
About Chronic Hunger
Following a decade long decline, global hunger appears to again be on the rise. According to the Food and Agricultural Organization of the United Nations, chronic hunger affects 11% of the world's population. Nearly one in four children under the age of 5 is affected by stunting, which can impair cognitive ability, decrease lifetime earnings, and increase risk of dying from an infection.
According to a 2017 report on the State of Food Security and Nutrition:
There is more than enough food produced in the world to feed everyone, yet 815 million people go hungry. As reflected in Sustainable Development Goal 2 (SDG 2), one of the greatest challenges the world faces is how to ensure that a growing global population - projected to rise to around 10 billion by 2050 – has enough food to meet their nutritional needs.
This is exacerbated by an increasing frequency of climate related shocks such as droughts, which can wipe out farmers' crops and tilt the needle from a situation of food insecurity to famine. Food security is further impacted by violent conflicts around the globe, which can disrupt food production and availability.
However, the presence of these factors, and consequently levels of chronic hunger, differ across countries. Now, we are challenging you to use your skills to consider which economic, social, and political factors are indicative of trends in chronic hunger in countries around the world.
Competition tile photo by Kate Holt / Africa Practice
DAT102x: Predicting Chronic Hunger: Rules and Terms of Data Use
DrivenData Competition Rules
One account per participant
You cannot sign up to this website http://datasciencecapstone.org ("Website") from multiple accounts and therefore you cannot submit from multiple accounts.
Private sharing of code
Privately sharing code or data outside of teams is not permitted.
Public dissemination of entries
DrivenData and the competition host have the right to publicly disseminate any entries or models.
Documentation for winning solutions
Winning solutions must be documented using the provided Winning Model Documentation Template in order to be eligible for recognition and prize money if offered.
The number of submissions per day is restricted to a fixed value on a per-competition basis. Any attempt to circumvent this limit will result in disqualification.
External data is not allowed unless otherwise noted explicitly on these competition pages. Participants agree to make no attempt to use additional data or data sources not provided on these competition pages.
These are the complete, official rules for the Competition (the 'Competition Rules') and incorporate by reference the contents of the Competition Website listed above.
By downloading a dataset linked from the Competition Website, submitting an entry to this Competition, or joining a Team in this Competition, you are agreeing to be bound by these Competition Rules which constitute a binding agreement between you and DrivenData and, if applicable, any rules and restrictions that may be imposed by the Competition Sponsor.
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Selection of winners
This Competition is a challenge of skill and the final results are determined solely by leaderboard ranking on the private leaderboard (subject to compliance with these Competition Rules). Participants' scores and ranks on the Competition Website at any given stage of the Competition will be based on the evaluation metric described on the Competition Website, as determined by applying the predictions in the Submission to the ground truth of a validation dataset whose instances were a fixed set sampled from the Data.
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Prizes and conditions
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Data use and code sharing
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Participant warranties and obligations
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- is your own original work, or is used by permission, in which case full and proper credit and identify is given and the third party contributions are clearly identified within your Submission;
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- was not previously published and has not won any other prize/award.
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