The mission of Data Science And Modeling is to leverage advanced data analysis and modeling techniques to tackle complex problems in various fields, where physics interfaces with computer science, biology, ecology, medicine, and engineering. The integration of methods based on statistical physics, dynamical systems theory, information theory, and complex network science, together with computational techniques such as machine learning, allows for the study of living systems, such as cells, populations, ecosystems, the human brain, as well as urban and social systems. These methods promise significant innovations in the medical, environmental, and social domains, offering solutions to global challenges and improving our ability to predict and manage natural and human phenomena.