NOE-type Research Centers
The structure and scope of the NOE project have been continuously refined to meet the needs of academic communities. Today, ISM has established NOEs across six key domains: Risk Research; Next-Generation Simulation; Survey Science; Statistical Machine Learning; Data Science for Creative Design and Manufacturing; and Medical and Health Data Science, through which ISM promotes research and educational activities.（As of April 1, 2025)
- ■ Risk Analysis Research Center
- ■ Center for Data Assimilation Research and Application
- ■ Research Center for Medical and Health Data Science
- ■ Survey Science Center (＊archive)
- ■ Research and Development Center for Data Assimilation
(＊archive) - ■ Research Center for Statistical Machine Learning
(＊archive) - ■ Data Science Center for Creative Design and Manufacturing (＊archive)
Risk Analysis Research Center
We are conducting research projects to scientifically mitigate the risks that modern society is facing. Our project activities include the following: data analysis related to seismology, environmental science and resource management;research on the theoretical and practical aspects of analyzing spatiotemporal data; development of mathematical and computational statistical methods for risk analysis; and data collection and linkage. Additionally, we operate a research network organization on risk analysis to facilitate interdisciplinary research with the shared objective of establishing a safe and resilient society.
DirectorShogo KATO
Center for Data Assimilation Research and Applications
Our research focuses on data assimilation methods, which are crucial for combining numerical simulations and observational data. First, we study the theory and methods of sequential Bayesian filters. Next, we develop emulators and study methods for modeling time and space domains. Using supercomputers, we develop data assimilation algorithms and conduct applied research on these methods in various fields. Through these efforts, we contribute to the construction of simulation models that predict the future, the design of efficient observation systems, and the realization of online control of actual systems.
DirectorGenta UENO
Research Center for Medical and Health Data Science
We promote statistical mathematics and data science research in the fields of medicine, drug discovery, healthcare, and public health. We aim to lay the foundation for the development of methodologies and practical research in statistics and machine learning in various fields of medicine, based on the fundamental statistical mathematics and computer sci- ence that form the basis of data science. Furthermore, our research center aims at constructing a research network of the academic community of this field, as well as offering advanced statistical education programs
DirectorShigeyuki MATSUI
Survey Science Center (From January 2011 to January 2017)
Founded on the accomplishments in social research by the Institute of Statistical Mathematics spanning over half a century including the Study of the Japanese National Character and the cross-national comparative research on national characteristics, the Survey Science Center was established in January of 2011 in order to facilitate further growth of the aforementioned sets of research as well as the establishment of networking ties with both domestic and international research organizations and the increase in the capacity to make contributions to wider society by creating what we call the NOE (Network Of Excellence). Through the corresponding five projects, the Survey Science Center aims to: strengthen the intellectual foundation of survey science; develop methodologies for survey research in a sustainable manner; improve public awareness and literacy about social research; accumulate data from survey research at the national scale; and facilitate mutual understanding between different countries. The Center hopes to function as the hub of activities for the respective types of aforementioned research agendas.
Research and Development Center for Data Assimilation (From January 2011 to March 2019)
Research and Development Center for Data Assimilation aims to construct simulation models that can predict the future and to design effective observation systems by means of “data assimilation”, which is a fundamental technology integrating numerical simulations and observational data.
Research Center for Statistical Machine Learning (From January 2012 to February 2024)
Machine learning is a research field associated with autonomous systems that can learn their behavior from data. This field is based on both the statistical science concerning inference from data and computer science concerning efficient algorithms. It can be applied to broad disciplines ranging engineering and information science to natural science, such as robotics and brain sciences. Our research center aims at supporting the academic community of this field, as well as producing influential research through various joint projects.
DirectorKenji FUKUMIZU
Data Science Center for Creative Design and Manufacturing (From July 2017 to February 2024)
We aim to foster new scientific methods for innovative design and manufacturing. Various fields in manufacturing are now facing a revolutionary period. Population reduction and globalization are bringing dramatic changes in the industrial structure in Japan. Countries around the world has actively developed their growth strategies utilizing data science as a driving force. We have accumulated state-of-the-art technologies in data science here. We are devoted to foster and practice advanced methods in data science for design and manufacturing.
DirectorRyo YOSHIDA