SDS 2026 - The 9th Int'l Conference on Statistics and Data Science (SDS 2026)
Date2026-05-29 - 2026-05-31
Deadline2026-05-20
VenueXiamen, China, China 
KeywordsStatistics; Data Science; Int'l Conference
Topics/Call fo Papers
The 9th Int'l Conference on Statistics and Data Science (SDS 2026) will be held during May 29-31, 2026 in Xiamen, China. You are invited to submit papers and participate in our academic exchange.
Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest:
Causal Inference and Causal Machine Learning
Federated Learning & Privacy
Explainable AI (XAI)
Bayesian Deep Learning
High-Dimensional Statistics
Time Series & Forecasting
Nonparametric Methods
Geometric Data Science
Robust Statistics
Network Science
Natural Language Processing
Spatial Statistics
Reinforcement Learning
Data Integration and Multi-Modal Data Analysis
Reproducibility & Ethics
AutoML & Efficiency
Anomaly Detection
Sports Analytics
Climate Statistics
Open Problems
Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest:
Causal Inference and Causal Machine Learning
Federated Learning & Privacy
Explainable AI (XAI)
Bayesian Deep Learning
High-Dimensional Statistics
Time Series & Forecasting
Nonparametric Methods
Geometric Data Science
Robust Statistics
Network Science
Natural Language Processing
Spatial Statistics
Reinforcement Learning
Data Integration and Multi-Modal Data Analysis
Reproducibility & Ethics
AutoML & Efficiency
Anomaly Detection
Sports Analytics
Climate Statistics
Open Problems
Other CFPs
- The 11th International Combinatorics and Graph Theory Conference (CGT 2026)
- 9th International Conference on Renewable Energy and Power Engineering (REPE 2026)
- 2026 International Conference on Interdisciplinary Perspectives in Social Sciences and Humanities
- 4th International Conference on Rare Diseases and Orphan Drugs
- 9th International Conference on Robotic Systems and Applications (ICRSA 2026)
Last modified: 2025-12-22 15:43:28
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