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Call For Papers

The ICDDSMA 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 Statistics, encouraging applied research, case studies, and industry-driven innovations.

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

  • Data-driven approaches in statistical modeling
  • Machine learning techniques for data analysis
  • Predictive modeling in various fields
  • Statistical challenges in data-driven analysis
  • Applications of data-driven methods in finance
  • Big data analytics and statistical modeling
  • Causal inference in data-driven research
  • Statistical software for data-driven analysis
  • Data mining techniques for statistical insights
  • Ethics in data-driven statistical research
  • Statistical modeling in healthcare data
  • Data-driven decision making in business
  • Time series forecasting using statistical models
  • Applications of AI in statistical analysis
  • Statistical power in data-driven studies
  • Meta-analysis of data-driven findings
  • Data visualization in statistical modeling
  • Collaborative approaches to data-driven research
  • Future trends in data-driven statistics
  • Integrating qualitative data in analysis

Evaluation

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
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