(ICWPAIA - 26) | Hybrid Event
16th - 17th November 2026 | Budapest, Hungary

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

16th - 17th November 2026 Budapest, Hungary (Hybrid Event)

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Call for Paper

The ICWPAIA is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Meteorology, the conference promotes research aligned with global development goals and long-term sustainability. 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
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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