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Call For Papers

The ICSCDA 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:

  • Statistical computing techniques and applications
  • Data analytics in various fields
  • Machine learning in statistical computing
  • Statistical software development and tools
  • Big data challenges in statistical computing
  • Statistical programming languages and frameworks
  • Applications of cloud computing in statistics
  • Data visualization techniques in analytics
  • Ethics in statistical computing research
  • Statistical methods for data mining
  • Collaborative computing in statistical analysis
  • Statistical modeling in computational biology
  • Applications of R and Python in statistics
  • Statistical power in computing studies
  • Meta-analysis in statistical computing
  • Future trends in statistical computing
  • Data management techniques for analytics
  • Statistical methods for high-dimensional data
  • Statistical computing in social sciences
  • Open-source tools for statistical 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.