2026 International Conference on Statistics, Big Data, and Data Analysis

2026 International Conference on Statistics, Big Data, and Data Analysis

CALL FOR PAPERS

Statistics

Game Theory

Ergodic Theory

Statistical Mechanics

Reliability Engineering

Partial Differential Equation

Statistical Physics

Data Mining

Applied Mathematics and Engineering

Mathematical Physics

Mathematical Chemistry

Mathematical Biology

Fluid Dynamics

Nonlinear Problems in Mechanics

Fuzzy Mathematics and Applications

Big Data

In the Era of Big Data

Computer Software and Computer Applications

Big Data Technology

Big Data Environment

Internet Finance

Cloud Computing

Internet Plus

Big Data Applications

Big Data Platform

Data Science Models and Methods

Big Data Algorithm

Big Data Search and Information Retrieval Technology

Scalable Computing Model

Theory and Algorithm

Big Data and Deep Learning

Big Data and High Performance Computing

Big Data Network Infrastructure

Ethical Considerations of Health Informatization and Big Data

Data Analysis

Big Data Analysis

According to Analysis/data Flow Applications

Storage Systems and Platforms for Big Data Analysis

Health Data

Machine Learning

Artificial Intelligence

Data Mining Technology

Data Visualization

Real Time Health Monitoring

Data Analysis Technology

Interdisciplinary Data Analysis

Forecasting

Electronic Health Records (EHR)

Health Data Sharing

Public Health Intervention Strategies Based on Data Analysis

Data Driven Decision-making in Precision Medicine

Analysis Method for Integrating Multi-source Health Data

AI Based Health Risk Prediction and Assessment

Submission Portal

If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:

· 杨老师

· WeChat/TEL :185 8288 1690

· QQ:3965998409

· E-mail:icsbdda@sub-paper.com

Important Dates

Submission Deadline:2026-10-01

Registration Deadline:2026-10-08

Conference Date:2026-10-16

Notification Date:About a week after the submission

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