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International Conference on Data-Driven Mathematical Modeling - (ICDDMM-27)

8th - 9th May 2027 , Tokyo - Japan

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Call For Papers

The (ICDDMM-27) 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:

  • Data-driven approaches in mathematical modeling
  • Machine learning for predictive modeling
  • Statistical analysis in data-driven models
  • Big data applications in mathematical modeling
  • Modeling complex systems with data
  • Data assimilation techniques in modeling
  • Optimization of data-driven models
  • Uncertainty quantification in data-driven models
  • Applications of AI in mathematical modeling
  • Data visualization techniques for modeling results
  • Real-time data-driven decision making
  • Mathematical modeling of social networks
  • Data-driven methods for climate modeling
  • Applications of data mining in modeling
  • Mathematical modeling of financial data
  • Data-driven epidemiological modeling
  • Integration of IoT in mathematical models
  • Data-driven optimization in logistics
  • Mathematical modeling in healthcare analytics
  • Ethical considerations in data-driven 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.