Call For Papers
The ICSC-DSA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Data Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Statistical methods for big data analysis
- Bayesian approaches in data science
- Machine learning applications in statistics
- Statistical computing frameworks and tools
- Data visualization techniques for statistics
- Statistical modeling in healthcare applications
- Time series analysis in data science
- Statistical inference for complex datasets
- Ethics in statistical data analysis
- Statistical methods for social sciences
- Data preprocessing techniques in statistics
- Statistical learning theory applications
- Robust statistics in data science
- Statistical analysis of experimental data
- Multivariate statistical methods in practice
- Statistical computing in R and Python
- Statistical challenges in data mining
- Statistical quality control in industries
- Statistical education for data scientists
- Future trends in statistical computing
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.