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Flex Conference (Physical / Digital)

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

16th - 17th June 2027 , Abu Dhabi - UAE

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Call For Papers

The (ICSMPA-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computational Science, Data Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.