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Call For Papers

The ICSDS 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, Data 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 methods in data science
  • Big data analytics and statistical techniques
  • Machine learning algorithms in statistics
  • Data visualization best practices
  • Statistical modeling for predictive analytics
  • Bayesian statistics in data science
  • Statistical challenges in data mining
  • Applications of statistics in AI
  • Data ethics and statistical integrity
  • Statistical methods for social data analysis
  • Time series forecasting using statistics
  • Multivariate statistics in data science
  • Statistical tools for data cleaning
  • Experimental design in data-driven research
  • Statistical analysis of survey data
  • Statistical literacy in data science education
  • Statistical software for data analysis
  • Data-driven decision making in organizations
  • Statistical methods for network analysis
  • Future trends in statistics and data science

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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