Hybrid Conferencee

International Conference on Statistical Computing and Data Analytics (ICSCDA - 26)

12th - 13th August 2026 | Sydney, Australia

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Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Sydney. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Sydney event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Sydney conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sydney, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Sydney."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICSCDA 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 Statistics, 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:

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