MOL recently announced its participation on a project that promotes effective actions to conserve and regenerate the oceans based on big data analysis of biodiversity.
As informed, MOL will participate in the industry-academia-government collaborative project to conserve marine biodiversity called “Ocean180”.
This is a long-term project to protect marine biodiversity which will visualize ocean ecosystems based on big data related to marine life, statistical modeling, and artificial intelligence (AI) in cooperation with research institutes such as universities, citizens, government agencies, companies, and financial institutions.
…MOL explains.
The name “Ocean180” reflects the wish for a reversal of deteriorating conditions in the world’s oceans and a move toward improvement.
For the records, the project is led by Professor Yasuhiro Kubota of the Biology Program, Marine and Natural Science Dept. in the Faculty of Science at the University of the Ryukyus.
Under their collaboration, MOL will provide ship operation data and so on, cooperating in the development of technology to visualize the impact of shipping on ecosystems, integrating marine life data and ocean shipping data.
What is more, the company will also help promote practical application of the project and study the feasibility of commercializing and broadening the use of various expertise and technologies stemming from the project, by making use of information and knowledge gained from the project in MOL-backed initiatives to protect marine biodiversity.
Marine Biodiversity Big Data project “Ocean180”
Ocean 180 is a long-term industry-academia-government collaborative project with the aim of developing underlying technology to generalize big data on marine biodiversity and develop applied technology for “Life Below Water.”
Currently, the related organizations are initiating various research efforts, but plans are underway to bring other parties into the project in the future. The project aims at the following main goals:
- Develop big data on marine biodiversity that everyone can use. Develop a tool to integrate data by standardizing, enhancing, and refining various information related to marine life. Then map indicator values for diversity and conservation/utilization of genes, species, biotic communities, and ecosystems by making full use of machine learning (AI, etc.) to offer an information base available to government agencies, companies, and other organizations involved with the oceans.
- Technology development related to adaptable, sustainable conservation/utilization of the oceans. Quantitively project space-time patterns of biodiversity on global/Japan-wide scale, make spatial arrangements in marine protected areas in consideration of environmental changes, and make impact assessments of marine biodiversity and ecosystem services related to global warming, coastal development, and the fishing and shipping industries.
- Promote practical application in society in cooperation with various industries. Cooperate with citizens, administrations, companies, and financial institutions. For example, establish the GIGA education project through the application of marine life visualization, establish ocean shipping operation models in consideration of the impact on marine ecosystems, and establish a real-time evaluation monitoring system related to the impact on the life below water.
