[Kenta Yamada] Development of big data integration environment and modeling methods for multi-sclae data sets incomplex social systems

Presto Researcher

Kenta Yamada
National Institute of Informatics, Research Organization of Information and Systems
Assistant Professor

Outline

Big data analysis is an effective means of solving problems in complex social systems such as a financial crisis, and there are remarkable results by analyzing big data. Advancing to the next stage of big data analysis, it is essential to develop the environment and method of integrating, analyzing and modeling multi-scale data sets, including from microscopic processes to macroscopic phenomena. In this project I will comprehensively develop methods and systems for multiple big data sets in order to solve complex social problems.

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  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-C
  • ACCEL
  • ALCA
  • RISTEX
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