Ocean Hypercapnia Data Challenge

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Our goal:  We are seeking collaborators to help us accelerate our understanding of how and when levels of ocean carbon dioxide reach dangerous levels for fish, mammals and all marine ecosystems. This phenomenon, known as 'Ocean hypercapnia', has potentially large implications for future fisheries, coral reef ecosystems and the hundreds of millions of people who are sustained by the ocean. But with limited global ocean data-sets available, we are opening up our work and looking for passionate scientists with innovative predictive approaches to beat our approach and accelerate this science.
The Challenge: Our data-based approach and discovery has just been published inNature and we are challenging anyone to beat it by downloading the global ocean data-set, employing their own numerical approach and sharing their final predictions openly. Whether you’re a student, data scientist, researcher or organization, there are 2 different prizes and rewards on offer. 

The Peer Choice Award: Openness accelerates innovation and reproducibility so we are awarding a $500 'Peer Choice Award'. If you have a numerical approach or idea on how we can better predict ocean carbon dioxide levels, then simply write a short synopsis about it or upload a video (you don't need to submit predictions for this award). The winner of the 'Peer Choice Award' will be determined by an open vote of peers through the Thinkable members.     

The Challenge Award: The overall winner will go to the individual or team who beats our approach by the largest margin (judged by Residual Standard Error - RSE). The winners of this award will receive $3000 funding and have the option to become a co-author on a follow up paper in Nature's Scientific Data journal.

 Funding Available