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 an 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.