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Call For Papers

The ICBDASA 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:

  • Big data analytics in statistical applications
  • Statistical methods for large datasets
  • Data mining techniques in big data
  • Statistical challenges in big data analysis
  • Machine learning applications in big data
  • Statistical modeling of big data phenomena
  • Data visualization techniques for big data
  • Statistical inference in high-dimensional data
  • Big data and predictive analytics
  • Statistical methods for streaming data analysis
  • Applications of big data in healthcare
  • Statistical tools for social media analytics
  • Big data ethics and statistical considerations
  • Statistical methods for big data integration
  • Big data applications in environmental science
  • Statistical analysis of big data in finance
  • Data governance and statistical practices
  • Statistical education for big data analytics
  • Future trends in big data statistics
  • Statistical software for big data 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.

Conference Alert

Due to heightened regional tensions and travel risks, the conference may be conducted in virtual-only mode. Updates regarding participation format will be communicated in advance.