Flex Conference (Physical / Digital)

International Conference on Predictive Modeling in Climate and Environmental Studies - (ICPMPES-27)

18th - 19th May 2027 , Santo Domingo - Dominican Republic

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Call For Papers

The (ICPMPES-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 Computational Science, Data Science 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:

  • Predictive modeling for climate change impacts
  • Machine learning in environmental monitoring
  • Data-driven approaches to climate adaptation
  • AI applications in disaster management
  • Predictive analytics for biodiversity conservation
  • Real-time environmental data analytics
  • Challenges in climate data integration
  • Machine learning for weather forecasting
  • Impact of urbanization on climate models
  • Sustainable practices through predictive analytics
  • AI for optimizing resource management
  • Collaborative approaches to climate research
  • Ethics in environmental data analytics
  • Future trends in climate modeling
  • Data visualization for environmental insights
  • Machine learning for pollution prediction
  • Interdisciplinary research in climate science
  • Predictive analytics for renewable resource management
  • AI in climate policy formulation
  • Behavioral insights in environmental sustainability

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.