About This Journal
The SMU Data Science Review
serves as an interdisciplinary journal that promotes all aspects of the ever-evolving data science field and research. This journal is a peer-reviewed, open access, digital journal that is committed to publishing any subject matter related to data science technologies, data engineering, analytics, algorithms, case studies, applications, software, and theoretical foundations. This journal provides an open forum for the exploration of data science along with their applications to real-life situations. Publishing papers on the SMU Data Science Review
is intended only for SMU students and faculty.