RSS: Data Science provides a new forum for research of interest to a broad readership spanning the data science fields. RSS: Data Science 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, 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. 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.
RSS: Data Science (RSSDS)
is :
International, Peer-Reviewed, Open Access, Refereed,
data science, AI, statistics
,
Online
Monthly
Journal
UGC Approved, ISSN Approved: P-ISSN , E-ISSN - 2976-8586, Established in - 2024, Impact Factor
Not Provide Crossref DOI
Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE
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