About this site
★ New developments in space-time earthquake forecasting and monitoring: from long-term to real-time
Earthquake is a complex phenomenon and is known to be difficult to predict. However, in recent years, there has been an accelerating trend to incorporate information science, such as statistics and machine learning, into conventional earthquake survey research, and in June 2021, Statistical Seismology Research Project, led by the Institute of Statistical Mathematics, was selected for the MEXT's "Seismology TowArd Research innovation with data of Earthquake Project (STAR-E Project)". The goal of the project is to improve the accuracy of short-, long-term, and immediate earthquake prediction and to contribute to disaster prevention planning in the real world by utilizing the ETAS model, which originates from statistics and has already been widely adopted in earthquake research. This site introduces the details of the project and related research.
★ Research Objectives and Structure
★ Interview 統数研プロジェクト紹介「第27回:長期から即時までの時空間地震予測とモニタリング 」(in Japanese)
★ Summary of Research (Commissioned Work*) Results
- FY2021 (R3) Annual Report on Results [pdf in Japanese]
- FY2022 (R4) Annual Report on Results (ISM proposal) [pdf in Japanese]
★ Summary of Research (Commissioned Work*) Results
- FY2021 (R3) Annual Report on Results [pdf in Japanese]
- FY2022 (R4) Annual Report on Results (ISM proposal) [pdf in Japanese]
*This project is commissioned by the STAR-E project (Seismology TowArd Research innovation with data of Earthquake), MEXT, Japan.