On-location / Digital Conference

International Conference on Statistical Modeling in Climate and Environmental Science (ICSMCES-27)

27th - 28th Mar 2027,Prague, Czech Republic

In Association With:

Call for Paper


Important Dates


Early Bird Registration

25th Feb 2027

Paper Submission Deadline

2nd March 2027

Registration Deadline

12th March 2027

Conference Date

27th - 28th Mar 2027

Conference Updates:

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  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Prague ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Prague conference.
  • Peer Review Process:
    The peer review process will begin soon for Prague conference.
  • Networking with Global Experts:
    Join global experts at our conference in Prague.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICSMCES bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Statistical Modeling in Climate and Environmental Science, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Statistical modeling in climate science
  • Data analysis for environmental statistics
  • Statistical methods for climate change research
  • Predictive modeling for environmental impacts
  • Statistical techniques for ecological data
  • Climate modeling and statistical methods
  • Data visualization in environmental science
  • Statistical approaches to sustainability analysis
  • Applications of statistics in environmental policy
  • Statistical methods for natural resource management
  • Climate data analysis using machine learning
  • Statistical modeling for biodiversity assessment
  • Environmental risk assessment techniques
  • Statistical methods for air quality analysis
  • Data-driven approaches to climate adaptation
  • Future trends in environmental statistics
  • Statistical techniques for water resource management
  • Integrating statistics with environmental science
  • Statistical modeling for extreme weather events
  • Applications of statistics in conservation efforts

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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