International Conference on Statistical Techniques for Environmental Data
(ICSTED - 26)

26th - 27th December 2026 Abu Dhabi, UAE (Hybrid Event)

Call for Paper

The ICSTED 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 Statistics, 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:

  • Statistical methods for environmental monitoring
  • Data quality assessment in environmental studies
  • Spatial statistics for ecological data analysis
  • Statistical modeling of climate change impacts
  • Time series analysis of environmental data
  • Bayesian approaches in environmental statistics
  • Statistical techniques for pollution assessment
  • Multivariate analysis of environmental factors
  • Statistical tools for biodiversity studies
  • Statistical inference in environmental epidemiology
  • Machine learning applications in environmental data
  • Statistical methods for water quality assessment
  • Remote sensing data analysis techniques
  • Statistical modeling of natural resource management
  • Data visualization techniques for environmental data
  • Statistical analysis of climate variability
  • Longitudinal data analysis in environmental research
  • Statistical approaches for sustainable development
  • Environmental risk assessment using statistics
  • Statistical education for environmental scientists
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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