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Call For Papers

The ICDSABF 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:

  • Data science applications in finance
  • Predictive analytics in business strategies
  • Machine learning for financial forecasting
  • Data-driven decision making in business
  • Statistical modeling for risk assessment
  • Big data analytics in finance
  • Data science in healthcare management
  • Social media analytics for business insights
  • Data visualization for business intelligence
  • Statistical methods for customer segmentation
  • Data science applications in marketing
  • Predictive modeling for sales forecasting
  • Financial data analysis using machine learning
  • Data ethics in business applications
  • Real-time analytics for business operations
  • Data science for operational efficiency
  • Statistical techniques for market analysis
  • Data-driven innovation in finance
  • Data science in supply chain management
  • Future trends in data science applications

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.