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Flex Conference (Physical / Digital)

International Conference on Computational Economics, Statistics and Econometrics - (ICCESE-27)

25th - 26th May 2027 , Al Rayyan - Qatar

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Call For Papers

The (ICCESE-27) 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 Economics, Statistics, Computing 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:

  • Computational methods in economic modeling
  • Statistical analysis of computational data
  • Econometric techniques in computational economics
  • Statistical methods for simulation studies
  • Computational statistics in data analysis
  • Econometric modeling of computational finance
  • Statistical techniques for big data economics
  • Computational approaches to econometric problems
  • Statistical methods for economic forecasting
  • Econometrics in the age of computation
  • Statistical analysis of algorithmic trading
  • Computational techniques for risk assessment
  • Econometric analysis of computational experiments
  • Statistical modeling of computational systems
  • Computational methods in financial statistics
  • Statistical challenges in computational research
  • Econometric evaluation of computational policies
  • Statistical analysis of economic simulations
  • Computational statistics in public policy
  • Econometric modeling of digital economies

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.