$50,000 Ariel Space Challenge: Exploring Exoplanet Atmospheres With AI

The Ariel Data Challenge 2024, hosted by UCL, invites data scientists and AI enthusiasts to analyze exoplanet atmospheres using data from the European Space Agency’s Ariel mission.

With a $50,000 prize pool, the competition aims to refine techniques for interpreting faint signals in noisy telescope data. Supported by a consortium including national space agencies and academic institutions, this challenge offers a significant opportunity for contributors to advance our understanding of exoplanets and prepare for Ariel’s 2029 launch.

The competition, based on the European Space Agency’s Ariel space mission and featured at the NeurIPS 2024 machine learning conference, will tackle one of astronomy’s most complex and important data analysis problems—extracting faint exoplanetary signals from noisy space telescope observations. It offers participants a unique chance to contribute to cutting-edge research in the field of exoplanet atmospheres, with a prize pool of $50,000.