We want to provide the best, real-time data on climate, water, and food security.
As the world heats up, extreme weather events intensify and occur more frequently, affecting food production with impacts spreading far and wide. Water resources, which help buffer extreme weather, are being depleted. Concurrent crises already impact millions of people and cost billions of dollars.
Support our mission to make water and food security information accessible and create a sustainable future through openness and collaboration.
Our Team
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Christian Siderius
Phd · CEO
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Ype van der Velde
Phd · Senior Model Developer
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Jon Page
Phd · Data Scientist
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Hester Biemans
PhD · Senior Model Developer · Wageningen Evironmental Research
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Marijn Gulpen
MSc · Data Scientist · Wageningen Environmental Research
Our Approach
We are developing a ʻdigital twinʼ of the global food system, driven by the latest climate data, utilizing machine learning to incorporate a vast amount of food production and trade data.
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Bias Correction
Both monthly real-time climate data and seasonal forecasts are corrected for biases.
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Climate Impact Modeling
The bias-corrected data is input into a high resolution computer model that simulates how current weather conditions impact production of all major food crops and their water use.
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Food Supply Estimation
Food supply is then estimated for all major food groups based on the latest crop-to-use allocation statistics by the Food and Agriculture Organization of the UN.
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Tracking Food Distribution
We use a novel and bespoke trade flow model to track how food is distributed from regions with a surplus to regions where there is greater demand.
Our approach can translate weather attribution to impact, complement remote sensing-based crop production estimates with comprehensive food security analysis, and add quantification to expert-based assessments, providing accurate and reliable data for informed decision-making.