Stream 2 – Machine Learning
Check out the Challenges for Stream 2*
Are you interested in exploring the intersection of machine learning and earth sciences? Then the challenges under this stream are a great opportunity for you! By participating, you’ll have the chance to work on cutting-edge projects with other like-minded individuals and develop your skills in a supportive and collaborative environment.
Let us know your innovative ideas related to one of these challenges!
- Challenge 20 – Machine Learning- Ready Archive of Satellite-Derived River Flood Inundation Observations
- Challenge 21 – AIrWISE: AI-based Reporting for Air Quality
- Challenge 22 – HydroML-Verify: Verification of physical consistency and hydrological signatures in ML-based streamflow forecasts and observations
- Challenge 23 – COMPEXT: Tracking Compound Extreme Events for Energy Security in a Changing Climate
- Challenge 24 – AI energy
Selected and successfully completed projects will receive €5,000!
*Terms and Conditions apply. ECMWF funding is available for nationals and residents of ECMWF Member States and Co-operating States.
EU funding is available for nationals from European Union (EU) Member States, countries associated with EU’s Space Programme (currently Iceland, Norway and United Kingdom) and countries associated with EU’s Digital Europe Programme (currently Albania, Iceland, Liechtenstein, Montenegro, North Macedonia, Norway, Serbia, Türkiye, Moldova, Kosovo, Bosnia and Herzegovina, and Ukraine).