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Call For Papers

The ICMMHDA 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, encouraging applied research, case studies, and industry-driven innovations.

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

  • Hierarchical models in social sciences
  • Multilevel modeling techniques and applications
  • Bayesian multilevel modeling approaches
  • Longitudinal data analysis methods
  • Statistical challenges in hierarchical data
  • Applications of multilevel modeling in education
  • Multilevel modeling in health research
  • Cross-classified models in statistics
  • Variance component estimation techniques
  • Statistical software for hierarchical analysis
  • Comparative studies using multilevel models
  • Multilevel modeling in economics research
  • Causal inference with hierarchical data
  • Meta-analysis of multilevel studies
  • Statistical power in multilevel designs
  • Multilevel modeling in environmental studies
  • Data collection strategies for hierarchical data
  • Ethical considerations in multilevel research
  • Multilevel modeling in policy analysis
  • Future directions in hierarchical data analysis

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.