Data Science and Artificial Intelligence


RSS Data Science and Artificial Intelligence RSS: Data Science and Artificial Intelligence, our new fully open access journal, is now open for submissions and is seeking high-quality papers from across the breadth of disciplines encompassing statistics, machine learning, deep learning, econometrics, bioinformatics, engineering, computational social sciences, and beyond. The journal reflects the  growing importance of data science and artificial intelligence in science and society, and  aims to fill the need for a venue that truly spans the relevant fields.

The journal's scientific scope is delineated by the three primary paper types: method papers, applications papers and supporting methods papers. In addition, the journal will publish editorials, op-eds, interviews, and reviews/perspectives in line with our goal to become a primary destination for data scientists across various fields.

For further details, please visit academic.oup.com/rssdat

Explore the journal's website now and discover why RSS: Data Science and Artificial Intelligence is the ideal platform for showcasing your research.
academic.oup.com/rssdat/pages/why-publish

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