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Call For Papers

The ICDSAFRM 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 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
  • Risk modeling with data analytics
  • Predictive analytics for financial markets
  • Ethics in financial data usage
  • Case studies in finance data science
  • Data quality and financial outcomes
  • User experience in financial analytics tools
  • Future trends in finance data science
  • Collaborative projects in finance analytics
  • Cloud computing for financial data
  • Data visualization for financial insights
  • Impact of data on investment decisions
  • Social media data in finance analytics
  • Integrating AI in financial modeling
  • Data governance in financial analytics
  • Challenges in data science for finance
  • Data-driven strategies for risk management
  • Best practices in financial data science
  • Machine learning for credit risk assessment
  • Data mining for fraud detection

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.