2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Call For Paper

2022 International Conference on mathematical statistics and economic analysis (MSEA 2022) will bring together leading researchers, engineers and scientists in the domain of interest from around the world.

Topics of interest for submission include, but are not limited to:

1.Genetic algorithm in the application of economic management;

2.Economic management of the data processing data modeling and prediction of the economy;

3.Data analysis and mining;

4.Economic growth and statistical analysis;

5.Financial mathematics;

6.Model fitting and data analysis;

7.The economic statistics;

8.The correlation analysis of economic development;

9.Prediction model and economic research;


*All papers, both invited and contributed, will be reviewed by two or three experts from the committees. After a careful reviewing process, all accepted papers of MSEA 2022 will be submitted for indexing by Ei Compendex, Scopus.

Submission Methods: 

1.The submitted papers must not be under consideration elsewhere.

2.Please send the full paper(word+pdf) to  English SUBMISSION SYSTEM or Chinese SUBMISSION SYSTEM 

3.Please submit the full paper, if presentation and publication are both needed.

4.Please submit the abstract only, if you just want to make presentations.

5.Templates Download: Templates

6.Should you have any questions, or you need any materials in English, please contact us at  iccontact@163.com


1) Both Abstract and Full Paper are welcomed. The author can make an oral presentation after the Abstract is accepted and the payment is finished.

2) All submitted articles should report original, previously unpublished research results, experimental or theoretical. Articles submitted to the conference should meet these criteria and must not be under consideration for publication elsewhere. We firmly believe that ethical conduct is the most essential virtual of any academic. Hence any act of plagiarism is a totally unacceptable academic misconduct and cannot be tolerated.