Projects Zero Hunger Lab
Tilburg University’s Zero Hunger Lab wants to contribute to the attainment of these five agreements based on data science. Only by working together intelligently can we put an end to hunger in the world. We do this by advising aid organizations, companies, and government institutions through mathematics and smart algorithms.
An overview of the current projects:
Projects
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Model OPTIMUS and its collaboration with World Food Programme
The UN approached Tilburg University with the challenge of optimizing the supply chain in crisis situations using data analytics.
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Child Growth Monitor
Tilburg University's Zero Hunger Lab was asked to develop the AI algorithm that measures body parameters, such as height, circumference, and weight from images. The algorithm can be included in the app to enable automatic detection of malnutrition in children all over the world.
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Project Enhance: Cost of Diet
How can we all be provided with food, especially in times of global distress or famine? Through AI and Big Data, the Zero Hunger Lab aims to answer these questions with Project ENHANCE.
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Fair and sustainable supply chain for sugar cane
Solidaridad asked the Zero Hunger Lab how they could use data to contribute as much as possible to the development of a fair and sustainable supply chain of sugar cane and palm oil.
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Under the radar
The organization of Dutch Food Banks requested Zero Hunger Lab to develop techniques to predict which people of are eligible for Food Bank support.
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