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International Conference on Bayesian Networks and Probabilistic Reasoning - (ICBNPR-26)

14th - 15th December 2026 , Florence - Italy

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Call For Papers

The (ICBNPR-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 Probability Theory 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:

  • Bayesian networks in decision making
  • Probabilistic reasoning in AI systems
  • Applications of Bayesian inference
  • Graphical models and their applications
  • Bayesian methods in machine learning
  • Causal inference using Bayesian networks
  • Dynamic Bayesian networks applications
  • Bayesian approaches to data fusion
  • Probabilistic programming languages
  • Bayesian statistics in clinical trials
  • Applications in natural language processing
  • Bayesian methods for big data
  • Hierarchical Bayesian modeling techniques
  • Bayesian optimization in engineering
  • Uncertainty quantification in Bayesian analysis
  • Bayesian methods in environmental science
  • Ethical considerations in Bayesian research
  • Bayesian networks in social networks
  • Applications in financial forecasting
  • Future directions in Bayesian research

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.

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