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Summary

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
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Prize

Amount Ranking Vote Type
$500 1 Member
Amount Ranking Vote Type
$3000 1 Judge
Amount Ranking Vote Type

Rules

Objective

We are seeking to work with talented scientists in any field that can come up with a better numerical approach to predict two oceanic state variables (Dissolved Inorganic Carbon (DIC) and Alkalinity (ALK)) that control carbon dioxide levels in the ocean.

Rewards & Prizes

We are excited to collaborate with the eventual winners to accelerate our collective knowledge about the potential threat of ocean hypercapnia. There are two different awards and prizes for those to participate.

1. The Peer Choice Award ($500)

Openness accelerates innovation and reproducibility.  If you have a numerical approach or idea on how we can better predict ocean carbon dioxide levels using the existing global data-set, then simply write a short synopsis or upload a short video on your approach. The winner of the 'Peer Award' will be determined by an open vote of Thinkable members.

2. The Challenge Award ($3000 & co-authorship)

This will be awarded to the individual or team who beats our predictions for DIC and ALK by the largest margin (quantified by RSE). The winners of this award will have the option if they choose to become a co-author on the follow-up publication to our Nature paper and any future papers
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FAQ

How does the leaderboard work?

Thinkable allows any scientist or team to host a competition with judging and/or member voting to award an unlimited set of prizes. The Thinkable leaderboard is only active during the voting/judging period where votes are automatically tallied either through the membership or through the organisers invited judges.


What is DIC?

DIC stands for Dissolved Inorganic Carbon concentration of seawater and can be thought of as the total carbon dioxide concentration of the ocean. Three forms of inorganic carbon make up DIC (see figure below) in the ocean including dissolved carbon dioxide (the molecule that exchanges with atmospheric CO2 and we worry about), carbonate ion (required for calcium carbonate production: CO3) and bicarbonate ion HCO3 (which makes up 90% of the DIC pool).


What is Alk?

Alk refers to the alkalinity concentration of seawater and can be thought of as the ability for a parcel of water to buffer an acid. It's defined by adding up all of the ionic properties of seawater (eg carbonate, bicarbonate, boron, hydrogen, siliceous acid etc). Alkalinity remains constant when CO2 enters the ocean from the atmosphere since it's a charge balance, however Alkalinity is a critical state variable along with

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