On-location / Digital Conference

International Conference on Statistical Modeling and Predictive Analytics (ICSMPA-27)

12th - 13th Feb 2027,Ankara, Turkey

In Association With:

Call for Paper


Important Dates


Early Bird Registration

13th Jan 2027

Paper Submission Deadline

18th January 2027

Registration Deadline

28th January 2027

Conference Date

12th - 13th Feb 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Ankara ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Ankara conference.
  • Peer Review Process:
    The peer review process will begin soon for Ankara conference.
  • Networking with Global Experts:
    Join global experts at our conference in Ankara.
  • 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 ICSMPA 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 and Predictive Analytics, 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 techniques for predictive analytics
  • Machine learning for data-driven decision making
  • Challenges in predictive modeling research
  • Real-time analytics in business intelligence
  • AI applications in statistical forecasting
  • Data visualization techniques for insights
  • Collaborative approaches in statistical research
  • Ethics in predictive analytics practices
  • Future trends in statistical modeling
  • Impact of big data on analytics
  • Statistical methods for risk assessment
  • Machine learning for customer behavior prediction
  • Predictive analytics in healthcare applications
  • Interdisciplinary research in statistics
  • Statistical learning for financial forecasting
  • Applications of predictive modeling in marketing
  • Data-driven approaches to operational efficiency
  • AI-driven decision support systems
  • Statistical techniques for time series analysis
  • Predictive analytics for supply chain optimization

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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