Flex Conference (Physical / Digital)

International Conference on Weather Prediction Algorithms and AI Applications - (ICWPAIA-26)

17th - 18th September 2026 , Bergen - Norway

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Call For Papers

The (ICWPAIA-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 Meteorology 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:

  • AI applications in weather forecasting
  • Machine learning techniques for meteorological data
  • Impact of big data on weather prediction
  • Innovative algorithms for weather modeling
  • Case studies of AI in meteorology
  • Public policy implications of AI in forecasting
  • Collaboration between AI researchers and meteorologists
  • Future trends in AI applications for weather
  • Ethical considerations in AI usage
  • Training programs for AI in meteorology
  • Use of AI for climate change analysis
  • Impact of AI on disaster response strategies
  • Community engagement in AI-driven projects
  • Assessment of AI forecasting accuracy
  • Integration of AI with traditional methods
  • Innovative tools for data visualization
  • Future challenges in AI meteorology applications
  • Role of AI in enhancing public awareness
  • Cross-disciplinary approaches to AI research
  • Impact of AI on meteorological education

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.