Call For Papers

The ICSCDA 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:

01
Statistical computing techniques and applications
02
Data analytics in various fields
03
Machine learning in statistical computing
04
Statistical software development and tools
05
Big data challenges in statistical computing
06
Statistical programming languages and frameworks
07
Applications of cloud computing in statistics
08
Data visualization techniques in analytics
09
Ethics in statistical computing research
10
Statistical methods for data mining
11
Collaborative computing in statistical analysis
12
Statistical modeling in computational biology
13
Applications of R and Python in statistics
14
Statistical power in computing studies
15
Meta-analysis in statistical computing
16
Future trends in statistical computing
17
Data management techniques for analytics
18
Statistical methods for high-dimensional data
19
Statistical computing in social sciences
20
Open-source tools for statistical analysis

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in reputed journals and conference 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.



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