There is only one ocean that covers this planet.
Every other breath you take is oxygen produced in the ocean.
It regulates our weather and forms the clouds that bring us fresh water to drink. It gives us food to eat, new medicines, jobs, energy, recreation and a climate we can thrive in. No matter where we live in the world, our future depends on a healthy ocean.
Our ocean is in danger from many threats.
And as we watch, the planet is losing its biodiversity at an alarming rate, with an estimated one million species of animals and plants facing extinction, particularly in the coming decades, a catastrophe never before seen in the history of humankind, according to the Intergovernmental Platform on Biodiversity and Ecosystem Services (IPBES).
It's essential to realize that these facts are not just a warning for the world we may leave behind for future generations, but they are already defining the world we are living in today.
How to use data science to bring out new solutions to preserve and create a responsible and equitable Ocean Economy, while avoiding falling into the trap of biases such as interpreting the data so that they would tell us the story that we intend them to tell?
How to manage the "perception is reality" effect, not confusing correlation with causation?
And as addressing the Ocean Economy requires thinking with a multidimensional approach as opposed to a silo approach, what is the framework that may help to look at the data by embracing and managing complexity over "simplisticity", hence not navigating data with a silo mindset?
