SIAM Journal on Mathematics of Data Science is an academic journal dedicated to the mathematical foundations and applications in the field of data science. It is committed to publishing research work that has made significant contributions to mathematics, statistics, and computational methods in the context of data science. These works not only promote the development of theory, but also provide new perspectives and tools for solving practical problems.

The journal warmly welcomes papers with practical applications in fields such as science, engineering, business, and medicine. These applications demonstrate how mathematical and statistical methods can help us better understand and analyze data, leading to innovation and progress in various fields. For example, in the business field, data science can help businesses optimize their decision-making processes and improve operational efficiency; In the field of medicine, it can be used to analyze patient data and improve the accuracy of disease diagnosis and treatment.