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Flex Conference (Physical / Digital)

International Conference on Mathematical Modeling in Environmental Risk Assessment - (ICMMERA-26)

13th - 14th October 2026 , Dammam - Saudi Arabia

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Call For Papers

The (ICMMERA-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Mathematical models for environmental risk assessment
  • Stochastic modeling in environmental science
  • Quantitative risk assessment methodologies
  • Mathematical frameworks for pollution modeling
  • Modeling climate change impacts on ecosystems
  • Data-driven approaches in risk assessment
  • Mathematical modeling of natural disasters
  • Optimization in environmental management strategies
  • Mathematical models for ecological dynamics
  • Simulation of environmental processes
  • Mathematical approaches to sustainability assessment
  • Modeling human impact on the environment
  • Mathematical frameworks for resource management
  • Risk modeling in public health contexts
  • Mathematical models for biodiversity assessment
  • Modeling the effects of climate variability
  • Mathematical analysis of environmental policies
  • Simulation of habitat loss scenarios
  • Mathematical modeling of water resources
  • Quantitative assessment of environmental hazards

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.