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International Conference on Predictive Modeling in Climate and Environmental Studies (ICPMPES-27)

06th - 07th Apr 2027,Sanliurfa, Turkey

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Call for Paper

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Important Dates


Early Bird Registration

07th Mar 2027

Paper Submission Deadline

12th March 2027

Registration Deadline

22nd March 2027

Conference Date

06th - 07th Apr 2027

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  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Sanliurfa conference.
  • Peer Review Process:
    The peer review process will begin soon for Sanliurfa conference.
  • Networking with Global Experts:
    Join global experts at our conference in Sanliurfa.
  • 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 ICPMPES 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 Predictive Modeling in Climate and Environmental Studies, encouraging applied research, case studies, and industry-driven innovations.

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

  • Predictive modeling for climate change impacts
  • Machine learning in environmental monitoring
  • Data-driven approaches to climate adaptation
  • AI applications in disaster management
  • Predictive analytics for biodiversity conservation
  • Real-time environmental data analytics
  • Challenges in climate data integration
  • Machine learning for weather forecasting
  • Impact of urbanization on climate models
  • Sustainable practices through predictive analytics
  • AI for optimizing resource management
  • Collaborative approaches to climate research
  • Ethics in environmental data analytics
  • Future trends in climate modeling
  • Data visualization for environmental insights
  • Machine learning for pollution prediction
  • Interdisciplinary research in climate science
  • Predictive analytics for renewable resource management
  • AI in climate policy formulation
  • Behavioral insights in environmental sustainability

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.

Submit Your Paper Now Confirm Your Participation Today

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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