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ALT Quite a lot harder than last year: Some of you may have realised that in 2022, we ran a similar challenge at NeurIPS. That challenge was a huge success and over 200 teams participated in solving our inverse modelling task. This year, we are taking it up a notch and are making the training set sparser, the chemistry more non-linear and the planet observations harder. Year by year we are getting closer to our goal of having highly realistic and robust ML models for our hardest cases. If you think you've done well last year, give this one a go!

ALT Apply Now for FREE DiRAC computing resources: In past competitions some participants did not have the computational resources to be competitive. To aleviate this inequality DiRAC are kindly providing GPU resources to a limited number of participants. See our Resources page on how to apply. There are prizes: The top three participants will get three registrations to ECML-PKDD 2023 or the monetary equivalent. They will also be invited to present their work at the Ariel Space Mission consortium conference hosted at the European Space Agency.

ALT Many thanks to: ECML-PKDD 2023 for hosting the data challenge and to the UKRI Science and Technology Funding Council, the UK Space Agency, the Centre National d'Etudes Spatiales (CNES) and the European Research Council for support this effort. Also many thanks to the data challenge team and partnering institutes, see here for some info on the team members, and of course thanks to the Ariel team for technical support and building the space mission in the first place! Timeline: 14-April - Challenge begins 14-April - Baseline solution and other documentations released 14-April - Challenge is live! 18-June - Invitation to Final Evaluation round 03-July - Winners are informed & announced 18 - 22 September (tbc) - Winning solutions presented at ECML-PKDD 2023 Workshop Any questions or something gone wrong? Contact us at: exoai.ucl [at] gmail.com