Welcome to the RSS Publications
The official publications of the Royal Statistical Society (RSS) are dedicated to advancing the discipline of statistics and enhancing statistical literacy with the vision of a world where data lies at the heart of understanding and decision-making.
Why publish with the RSS?
Get to know the journals, their differences, and benefits, and uncover which one makes the perfect home for your research.
Submit your research
Take a look over our Author Guidelines to make sure your manuscript is submission ready. We look forward to working with you.
Search RSS articles
Utilise our powerful faceted search across text and images for all RSS papers ever published.
Introducing RSS: Data Science and Artificial Intelligence
Call for Papers: Uncertainty in the Era of AI
The editors of RSS: Data Science and Artificial Intelligence invite submissions for an upcoming Special Issue: 'Uncertainty in the Era of AI'.
Deadline for submissions: 31 August 2026
Learn more
Read the inaugural editorial
In their inaugural editorial, Editors-in-Chief Silvia Chiappa, Neil Lawrence, and Sach Mukherjee share their vision for the journal as a leading venue for next-generation research at the intersection of statistics, machine learning, and AI.
Read the editorial
Inside our new journal, 'RSS: Data Science and AI', with Neil Lawrence
Editor-in-Chief, Neil Lawrence, spoke with Real World Data Science about RSS DS&AI's first position paper, how it aligns with the journal’s vision, and the importance of bridging machine learning and related fields to keep the human element at the heart of AI systems.
Beyond Quantification: Interview with Professor Sylvie Delacroix on Navigating Uncertainty with AI
RSS DS&AI has published its first position paper on navigating non‑quantifiable uncertainty in professional AI systems. Lead author Professor Sylvie Delacroix spoke with Real World Data Science about the paper.
Meet the team
Get to know the Journal Editors from:
Journal of the RSS, Series A
Journal of the RSS, Series B
Journal of the RSS, Series C
RSS: Data Science and Artificial Intelligence
Significance
Journal webinars
Journal webinars are held every few months, featuring papers from our journals. Authors present their work, followed by a discussion.
Find out more
Discussion papers
Discussion meetings are events where articles appearing in the Journals of the RSS are presented and discussed.
RSS 2026 International Conference
Date: 7-10 September 2026
Location: Bournemouth, UK
The RSS conference brings together the statistics and data science community from across the UK, Europe and around the world to share knowledge and learn about latest developments.
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Follow the RSS social media accounts
RSS Linkedin
Significance Linkedin
RSS Real World Data Science Linkedin
RSS Bluesky
RSS Facebook
RSS Twitter/X
Email alerts
Register to receive table of contents email alerts as soon as new issues of RSS Journals are published online.
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Read and publish deals
If you are interested in publishing with the RSS, you may be able to publish your paper Open Access using funds available through your institution’s agreement with OUP.
Find out if your institution is participating
About the Royal Statistical Society
About the Royal Statistical Society
Learn more about the RSS and explore the benefits of membership.
