
We read the planet from orbit.
Food security, ground motion, forests, the sea and the sky. We turn what satellites and telescopes measure into forecasts and findings anyone can check.
Every forecast is stored before the answer is known.
We store every forecast in a log that cannot be changed, before anyone knows the answer. When the outcome is published, we compare the forecast with it, and both stay public side by side, so you can see how often we were right.
The engine behind it is HGE. It forms a hypothesis that can be proven wrong, runs it the same way every time and signs the result, so others can replay it from the same data.
We publish the method on arXiv. The code for LITHOS, PSE and climval is open source, and the CERES forecasts are open through a public API.

Famine risk, 90 days ahead.
CERES is a food security forecast that gives the risk of a food crisis in 43 countries, 90 days ahead, every week. Each forecast goes into a log that cannot be changed before the outcome is known, so you can later compare it with what happened.
This week's forecasts.
CERES gives the probability of a food crisis within 90 days. Here are the five highest this week, and how many forecasts we have stored so far.
- 70%
- Sudan
- 57%
- Yemen
- 52%
- Mozambique
- 45%
- South Sudan
- 42%
- Afghanistan
- 1,376
- Forecasts stored before the outcome was known

From the seabed to the stars.
From subsea cables to unseen stars: six systems that read Europe's satellites and star catalogues.
The systems.
Earth observation, Climate, Space, The method, Life sciences.
CERES Food security forecasting
LITHOS Ground motion from radar satellites
PSE Earth observation data fusion, open source
ORION Satellite monitoring of infrastructure
Open Forest Watch Forests and EUDR
MARVIS Maritime and subsea monitoring
climval Climate model validation, open source
Laplace Astronomy, ESA Gaia DR3
OQTOPUS Quantum computing, University of Osaka
HGE The evidence engine behind the research
ATHENA Women's health
AION Longevity biology