Scope of Submission
We welcome submissions from a broad range of disciplines, including but not limited to:
- Data-driven approaches in mathematical modeling
- Machine learning for predictive modeling
- Statistical analysis in data-driven models
- Big data applications in mathematical modeling
- Modeling complex systems with data
- Data assimilation techniques in modeling
- Optimization of data-driven models
- Uncertainty quantification in data-driven models
- Applications of AI in mathematical modeling
- Data visualization techniques for modeling results
- Real-time data-driven decision making
- Mathematical modeling of social networks
- Data-driven methods for climate modeling
- Applications of data mining in modeling
- Mathematical modeling of financial data
- Data-driven epidemiological modeling
- Integration of IoT in mathematical models
- Data-driven optimization in logistics
- Mathematical modeling in healthcare analytics
- Ethical considerations in data-driven modeling
All papers must be original and not previously published or submitted elsewhere.
