RSS: Data Science and Artificial Intelligence (RSSDSAI)

RSS: Data Science and Artificial Intelligence provides a new forum for research of interest to a broad readership spanning the data science fields. RSS: Data Science and Artificial Intelligence has been created in recognition of the growing importance of data science in science and society and the need for a venue that truly spans the relevant fields. The journal will therefore welcome papers from across the breadth of data science, including AI, statistics, deep learning, machine learning, econometrics, bioinformatics, engineering, computational social sciences, and beyond. High-quality papers of broad interest to a wide data science readership and with multiple routes to impact are candidates for submission to RSS: Data Science and Artificial Intelligence. A strong level of technical exposition and data scientific content is encouraged, in line with the focus on a readership in the data sciences per se. The scientific scope of the Journal is outlined with reference to three key paper types, summarized below. In addition, the journal will publish editorials, op-eds, interviews and reviews/perspectives in line with the goal of being a "go-to" venue for data scientists across a range of fields.

RSS: Data Science and Artificial Intelligence (RSSDSAI) is :-

• International, Peer-Reviewed, Open Access, Refereed, Data Science, Artificial Intelligence, Deep learning, Machine learning, Econometrics, Bioinformatics, Engineering, Computational social sciences , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 3049-5148, Established: 2024,
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE