International Conference on Seasonal Forecasting and Decision-Support Systems
(ICSFDSS - 27)

19th - 20th January 2027 Osaka, Japan (Hybrid Event)

Call for Paper

The ICSFDSS 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 Climatology, Meteorology, Water, 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:

  • Seasonal forecasting methodologies
  • Decision-support systems for climate adaptation
  • Role of seasonal forecasts in agriculture
  • Predictive models for seasonal climate variability
  • User engagement in seasonal forecasting
  • Impact of seasonal forecasts on disaster management
  • Integration of local knowledge in forecasts
  • Climate services for vulnerable communities
  • Seasonal forecasting and water resource management
  • Technological advancements in forecasting systems
  • Evaluation of seasonal forecast accuracy
  • Collaboration between scientists and policymakers
  • Seasonal climate prediction models
  • Communication strategies for seasonal forecasts
  • Socio-economic implications of seasonal forecasts
  • Seasonal forecasting for energy management
  • Innovations in climate decision-support tools
  • Case studies of successful seasonal forecasts
  • Training programs for seasonal forecasting
  • Future challenges in seasonal prediction
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.

Sponsored & Indexed by