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Hybrid Event

23rd - 24th June 2026 | Macau, China

International Conference on Statistical Analysis and Modeling in Data Science (ICSAMDS - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICSAMDS) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

01
Modeling techniques in statistical analysis
02
Advanced regression methods in data science
03
Statistical tests for hypothesis testing
04
Multilevel modeling in social sciences
05
Statistical analysis of survey data
06
Nonparametric methods in statistics
07
Statistical modeling for time series data
08
Machine learning and statistical inference
09
Statistical methods for financial data
10
Causal inference in statistical analysis
11
Statistical modeling in environmental studies
12
Statistical methods for high-dimensional data
13
Bayesian statistics in data analysis
14
Statistical analysis in public health
15
Statistical methods for experimental design
16
Statistical modeling in marketing research
17
Statistical software for data analysis
18
Statistical challenges in machine learning
19
Statistical analysis of network data
20
Future directions in statistical modeling

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

Submit Your Paper Today Register Early
2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.