The essay “The Ocean : a carbon pump” (Laurent Bopp, Chris Bowler, Lionel Guidi, Éric Karsenti, Colomban de Vargas), published in the Ocean and Climate Platform put in evidence a paradoxical human action. While the human activities, “including contaminant inputs, overfishing and disturbances from seafloor extractive activities” (as quoted from the A case for the deep ocean essay directed by Nadine Le Bris) have had a negative impact on the powerful biological process of the carbon pump, human activity, through technology, can also be a solution to the problem it created. Artificial enhancement of the carbon pump mechanism could improve the carbon sequestration in the ocean. Moreover, technology has also been identified (Ocean acidification, by Jean-Pierre Gattuso and Lina Hansson) as a way to limit ocean acidification (having an impact on the food chain of ocean species and the formation of their skeletons). This could be done, although it remains very uncertain, by discharging into the oceans basic coumpounds to increase the PH of the ocean.

In that perspective, to make technological offer more suitable and able to treat the distorsion of the ocean carbon pump as well as to reverse the acidification trend in the oceans, can Big Data and artificial intelligence play a decisive role, for instance in identifying zones of priority treatment or in anticipating the effects of such technologies ?


I am not sure what is the aim of this question. Do we just ask point blank what would be the interest of Big Data/AI in ocean science ? Or is there a specific use we can think of ? (eg. Should the UNO fund a global initiative to develop a worlwide database on oceans so that we could identify priority actions and coordinate them thanks to Big Data/AI ?)