ARIEL Data Challenge Series for exoplanet data solutions

ARIEL, a mission to make the first large-scale survey of exoplanet atmospheres, has launched a global competition series to find innovative solutions for the interpretation and analysis of exoplanet data.

The first ARIEL Data Challenge invites professional and amateur data scientists around the world to use Machine Learning (ML) to remove noise from exoplanet observations caused by starspots and by instrumentation.

ARIEL has been selected by the European Space Agency (ESA) as its next medium-class science mission and is due for launch in 2028.

More for ARIEL Data Challenges

ARIEL Data Challenges website