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International Conference on Mathematical Modeling for Sustainable Development - (ICMMSD-26)

17th - 18th September 2026 , Thessaloniki - Greece

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Call For Papers

The (ICMMSD-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:

  • Sustainable development through mathematical modeling
  • Modeling resource allocation for sustainability
  • Mathematical frameworks for environmental impact
  • Optimization models for sustainable practices
  • Modeling climate change effects on ecosystems
  • Sustainable urban development modeling techniques
  • Mathematical modeling of renewable energy systems
  • Socio-economic models for sustainable growth
  • Mathematical approaches to waste management
  • Modeling sustainable agricultural practices
  • Systems thinking in sustainable development
  • Mathematical modeling of water resources
  • Impact assessment models for sustainability
  • Mathematical tools for sustainable transportation
  • Modeling the circular economy mathematically
  • Interdisciplinary models for sustainable solutions
  • Mathematical modeling of biodiversity conservation
  • Evaluating sustainability indicators mathematically
  • Mathematical modeling for climate resilience
  • Community engagement in sustainable modeling

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.