The International Journal of Population Data Science (IJPDS) is an open-access, peer-reviewed journal dedicated to the advancement of population data science. IJPDS aims to foster interdisciplinary research and collaboration in the use of population data to address key societal challenges.
The journal welcomes submissions that focus on the development and application of data science methods to population-related research. Topics of interest include demography, epidemiology, public health, social sciences, and environmental studies. Emphasis is placed on innovative approaches to data linkage, data integration, and the analysis of large, complex datasets. By publishing in IJPDS, researchers can reach a broad audience and contribute to evidence-based decision-making that promotes healthier, more equitable societies. The journal is indexed by reputable databases, increasing the impact of its published articles.
Authors are encouraged to submit original research, methodological papers, and reviews that showcase the power of population data science to improve our understanding of the world and address pressing global issues.