Bayesian approach to big data opens up the future of earchquake science.

Contact: iSeisBayes Secretariat

Address: Earthquake Research Institute, The University of Tokyo
1-1-1, Yayoi, Bunkyo-ku, 113-0032 Tokyo, Japan

In our country, more than 1,000 seismic stations have been continuously acquiring high-resolution digital seismic data. A large amount of instrumentally measured vibration data, which can be so-called big-data, will be available in near future. The data consist of both the conventional high-quality seismic data by well-calibrated seismometers and many kinds of new vibration data measured by accelerometers based on Micro Electro Mechanical Systems (MEMS), which are installed in such as infrastructures, lifelines and smartphones. The aim of this project is to develop, collaborating with the forefront of Bayesian statistics, a set of algorithms that enable us to comprehensively analyze the seismic data obtained by sensors of various types, which eventually contributes to prevention/mitigation of seismic disasters and clarification of earthquake phenomena.

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