International Journal Of Population Data Science (ijpds)

The International Journal Of Population Data Science (ijpds) focuses on the field of population data science at the individual level and is committed to advancing the academic progress and applied development of this field. The journal covers a wide range of topics including, but not limited to, individual data collection, analytical methods, data sharing, and privacy protection, as well as the use of data in public health, social sciences, and policy development.

The journal welcomes all forms of submissions, which can be original research articles demonstrating new data science methods or theories; Review articles, summarize and evaluate the current research progress and trends in the field; Protocol paper, introducing the research design and implementation process; Methodological development, exploring emerging technologies and data processing methods; Application papers, showing examples of the application of data science to practical problems; As well as case studies, provide specific data analysis examples and lessons learned.