Hybrid Conferencee

International Conference on Mathematical Modeling in Climate and Environmental Science (ICMMCLES - 26)

23rd - 24th July 2026 | Paris, France

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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 Paris conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Paris, 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 Paris."
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 9
SDG 9 Industry, Innovation and Infrastructure
SDG 11
SDG 11 Sustainable Cities and Communities
SDG 12
SDG 12 Responsible Consumption and Production
Track 01

Advancements in Mathematical Modeling for Climate Systems

This track focuses on the latest methodologies in mathematical modeling specifically tailored for understanding climate systems. Participants are encouraged to present innovative models that enhance our comprehension of climate dynamics and their implications.

Track 02

Statistical Methods in Environmental Science

This session will explore the application of statistical techniques in environmental research, emphasizing data analysis and interpretation. Contributions that demonstrate the integration of statistics with environmental data are particularly welcome.

Track 03

Simulation Techniques for Climate Prediction

This track aims to discuss various simulation approaches utilized in predicting climate phenomena. Papers that showcase the effectiveness of simulation in enhancing predictive accuracy and understanding climate variability are encouraged.

Track 04

Optimization Strategies in Environmental Modeling

This session will delve into optimization techniques applied to environmental models, focusing on resource management and sustainability. Contributions that highlight novel optimization methods and their practical applications in environmental contexts are sought.

Track 05

Complex Systems and Climate Dynamics

This track addresses the intersection of complex systems theory and climate dynamics, exploring how mathematical frameworks can elucidate intricate interactions within climate systems. Researchers are invited to present findings that contribute to the understanding of these complex interdependencies.

Track 06

Numerical Methods in Climate and Environmental Modeling

This session will focus on the development and application of numerical methods in climate and environmental modeling. Papers that discuss advancements in computational techniques and their implications for model accuracy are encouraged.

Track 07

Data Analytics in Climate Science

This track emphasizes the role of data analytics in climate science, highlighting techniques for extracting insights from large datasets. Contributions that showcase innovative data-driven approaches to climate research are particularly welcome.

Track 08

Risk Analysis in Environmental Decision-Making

This session will explore the application of risk analysis methodologies in environmental decision-making processes. Papers that address the quantification and management of risks associated with environmental policies are encouraged.

Track 09

Applications of Applied Mathematics in Sustainability

This track focuses on the application of applied mathematics to promote sustainability in various sectors. Researchers are invited to present case studies that illustrate the impact of mathematical approaches on sustainable practices.

Track 10

Interdisciplinary Approaches to Climate Modeling

This session will explore interdisciplinary methodologies that combine mathematics, statistics, and environmental science in climate modeling. Contributions that highlight collaborative efforts across disciplines to enhance model robustness are encouraged.

Track 11

Policy Research and Mathematical Insights

This track aims to bridge the gap between mathematical modeling and policy research in climate and environmental science. Papers that provide mathematical insights to inform policy decisions and enhance governance are particularly welcome.