Flex Conference (Physical / Digital)

International Conference on Statistical Computing and Data Science Applications - (ICSCDSA-26)

13th - 14th October 2026 , Algiers - Algeria

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Call For Papers

The (ICSCDSA-26) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Computational Science are explored to promote cross-domain knowledge exchange and collaborative innovation.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Statistical computing techniques in data science
  • Applications of statistical methods in computing
  • Data analysis techniques in statistical computing
  • Machine learning applications in statistical computing
  • Challenges in statistical computing methodologies
  • Real-time data analysis in computing
  • Innovative algorithms for statistical analysis
  • Collaborative approaches to statistical computing
  • Performance evaluation of statistical methods
  • Future trends in statistical computing
  • Visualization techniques for statistical data
  • Interdisciplinary applications of statistical computing
  • Ethics in statistical computing practices
  • Data management in statistical computing
  • Applications of statistical computing in healthcare
  • Dynamic statistical modeling techniques
  • Statistical computing for big data analytics
  • Simulation techniques in statistical computing
  • Case studies in statistical computing applications
  • Statistical computing in social sciences

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.