Low-cost systems, AI-driven data analysis, and capacity development are required to create a new approach to increase exploration efficiency and access to the deep sea. Only now, with recent technological breakthroughs across numerous sectors, is it possible to truly accelerate the pace of exploration by working with people on every coastline to ensure they have the tools and abilities to explore the deep ocean for themselves.
The majority of countries have little or no ability to explore the 93% of the ocean that lies below 200 m. There is a significant capacity gap between high- and low-income countries with respect to access to tools, training, and infrastructure for deep-sea exploration and research.
Katy Croff Bell participated as an instructor in the inaugural 2022 Deep-Sea Expedition Planning Master Class for the Crustal Ocean Biosphere Research Accelerator (COBRA). The mission of COBRA is to accelerate research on the structure, function, resilience, and ecosystem services of the crustal ocean biosphere to inform decision-making.
The Deep Ocean Observing Strategy (DOOS)
DOOS is "an international, community driven initiative that facilitates collaboration across disciplines and fields, elevates a diverse cohort of early career researchers into future leaders, and connects scientific advancements to societal needs. DOOS represents a global network of deep ocean observing, mapping, and modeling experts, focusing community efforts in the support of strong science, policy and planning for sustainable oceans."
“To understand the full Earth system, we need to understand the deepest parts of the ocean”
Dr. Dawn Wright
The goal of My Deep Sea, My Backyard was to enable Kiribati and Trinidad & Tobago to explore their own deep-sea backyards using low-cost technology, while building lasting capacity.
In 2019, the MIT Media Lab (MIT), National Geographic Society (NGS), Lindblad Expeditions (LEX) collaborated to create a pilot Deep-Sea Camera System training and deployment program.
The goal of Big Ocean, Big Data was to establish FathomNet, a new baseline dataset optimized to directly accelerate development of modern, intelligent, automated analysis of underwater visual data.