Hybrid Conferencee

International Conference on Extreme Event Analysis and Risk Management (ICEEARM - 26)

14th - 15th August 2026 | Tokyo, Japan

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Call for Papers Extended:
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Certificate of Presentation:
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Abstract Submissions Open:
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Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Tokyo conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Tokyo, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Tokyo."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
Track 01

Advanced Probability Theory in Extreme Events

This track focuses on the latest developments in probability theory as applied to extreme event analysis. Researchers are invited to present innovative methodologies that enhance our understanding of rare and impactful occurrences.

Track 02

Statistical Modeling for Risk Management

This session will explore statistical modeling techniques that are pivotal in risk management across various domains. Contributions that demonstrate the application of these models in real-world scenarios are particularly encouraged.

Track 03

Climate Studies and Extreme Event Prediction

This track aims to address the statistical approaches used in predicting extreme climate events. Participants will discuss the integration of statistical models with climate data to improve forecasting accuracy.

Track 04

Financial Risk Analysis through Statistical Methods

This session will delve into the application of statistical methods in assessing and managing financial risks. Papers that highlight innovative quantitative approaches to financial uncertainty are welcome.

Track 05

Environmental Statistics and Risk Assessment

This track focuses on the role of environmental statistics in assessing risks associated with extreme environmental events. Contributions that utilize statistical tools to analyze environmental data are encouraged.

Track 06

Simulation Techniques in Extreme Event Analysis

This session will highlight the use of simulation techniques in modeling extreme events and their impacts. Researchers are invited to present novel simulation approaches that enhance predictive capabilities.

Track 07

Data Science Applications in Risk Management

This track will explore the intersection of data science and risk management, emphasizing statistical methods that leverage large datasets. Contributions that showcase innovative data-driven solutions to risk analysis are encouraged.

Track 08

Predictive Analytics for Extreme Events

This session will focus on the development and application of predictive analytics in the context of extreme events. Papers that demonstrate the effectiveness of predictive models in various fields are particularly welcome.

Track 09

Machine Learning Techniques for Risk Analysis

This track aims to explore the integration of machine learning techniques with traditional risk analysis frameworks. Contributions that highlight the advantages of machine learning in understanding and mitigating risks are encouraged.

Track 10

Quantitative Methods in Uncertainty Quantification

This session will address quantitative methods used for uncertainty quantification in extreme event analysis. Researchers are invited to present methodologies that enhance the reliability of risk assessments.

Track 11

Stochastic Processes in Extreme Event Modeling

This track will focus on the application of stochastic processes in modeling extreme events and their associated risks. Contributions that explore theoretical advancements and practical applications are welcome.