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


5th - 6th December, 2026 | New York, USA

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

5th November, 2026

Paper Submission Deadline

10th November, 2026

Last Date Of Registration

11th December, 2026

Date Of Conference

5th - 6th December, 2026

Downloads

Call for Papers

The (ICSTED-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Statistics, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.