Oct 24 – 25, 2023
Laboratoire de Mathématiques Blaise Pascal
Europe/Paris timezone

Statistical modeling, machine Learning, and artificial intelligence insights  for natural hazard and risk studies


The focus of this workshop is on risk management, emphasizing natural disasters such as earthquakes and volcanoes. These challenges are complex, and it is crucial for experts from different fields to collaborate to develop innovative solutions. By combining experts in statistical modeling, machine learning, and artificial intelligence, we aim to develop advanced statistical models expected to identify, measure, and mitigate risks accurately and efficiently. In fact, with the use of machine learning and artificial intelligence technologies, it is now possible to identify hidden patterns and relationships in data that are not discernible through human analysis. As a result, we anticipate the development of better prediction models, enabling the forecasting of potential risks and the implementation of preventive and mitigation measures in advance.

The objectives of this workshop are as follows :

  1. Share knowledge and experience regarding the use of machine learning techniques for risk management in various applications.
  2. Create opportunities for networking and collaboration between young and senior researchers and practitioners in the field of natural disaster risk management from both Japan and France.
  3. Identify innovative solutions and strategies that can more effectively manage risk using statistical modeling, machine learning, and artificial intelligence.
  4. Explore potential opportunities for new international joint research between the Institute of Statistical Mathematics, The Laboratoire de Mathématiques Blaise Pascal, and the International Research Institute of Disaster Science IRIDeS from Tohoku University, while broadening the presence of ROIS both domestically and internationally.
Laboratoire de Mathématiques Blaise Pascal
Amphi Hennequin
3, place Vasarely 63178 Aubière cedex
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For more information please contact Prof. Tomoko Matsui or Nourddine Azzaoui.