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Dr. Yoichi Ishikawa

Japan Agency for Marine-Earth Science and Technology, Japan

About the speaker:

Dr. Yoichi Ishikawa is the Director of Center for Earth Information Science and Technology (CEIST) at Japan Agency for Marine-Earth Science and Technology (JAMSTEC). He is also a principal research scientist and a concurrent post director of JAMSTEC’s Data Management and Engineering Department. He has a background in information engineering and has published many papers on topics such as quantum computing, data mining, and machine learning. He is involved in the Ocean Eyes project, which aims to create a global ocean observation network using artificial intelligence. He is a leading expert in the field of marine-earth informatics. He proposed an innovative method of forecasting ocean circulation and fishery-resource variability linked to climate change using data assimilation and machine learning.

Dr. Ishikawa's Webpage: https://www.jamstec.go.jp/souran/html/Yoichi_Ishikawa_5303e-e.html

About keynote speech:
For the collaboration of Digital Twins of Ocean activities

Various digital twins of ocean initiatives have begun in several regions. When looking at the structure of the digital twins of ocean, it is made by combining various tools and data, for examples, simulations of the physical environment, AI/machine learning tools for creating new information by combining various data, and use interfaces to illustrate the results.

Each digital twin of ocean is created for that own purpose, and its structure becomes complex in many cases. So, it is not easy to port it as is for other purposes, and not easy to reuse for new digital twin system.

To solve these problems, considering structuring of digital twins of ocean is necessary. The digital twins of ocean are often systems that combine marine environmental information with information on the target field, such as information on fisheries and ecosystems, so marine environment simulation data is very important as basic information. Additionally, if common technologies such as APIs for data access, AI/machine learning tools, and visualization technologies that are used in digital twins of ocean are standardized and modularized, it will be easier to construct new digital twin system.

In this presentation, we will introduce some activities of the digital twins of ocean in Japan. Through these activities, we clarify common tools and data by analyzing their structures, and discuss the issues facing the construction of new digital twins of ocean.

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