Real World Data Science

Real World Data Science is a new publication from the Royal Statistical Society, in partnership with the American Statistical Association. It has been developed by data science practitioners and leaders with a single goal in mind: to serve people working in data science who are looking for practical insights, methodological rigour and thought-leadership that informs their work and decision-making. 
 
As the field of data science evolves rapidly - with new tools, controversies, and breakthroughs emerging almost daily - Real World Data Science offers a space for timely, thoughtful responses grounded in the expertise of our contributors and reviewed by a distinguished editorial board.
 
Case studies of data science applications are a core feature of the site, along with “explainers” of the ideas, tools, and methods that make data science projects possible, and exercises to support the training and development of data science skills.

Real World Data Science is online at realworlddatascience.net. Follow us on GitHub, LinkedIn, Mastodon and X.

Get involved

Real World Data Science is open for submissions.

Editorial team

Editor
Annie Flynn

Editorial Board
Sophie Carr, Bays Consulting (chair)
Yaxin Bi, Ulster University
Lee Clewley, GSK
Jonathan Gillard, Cardiff University
Willis Jensen, Brigham Young University
Monnie McGee, SMU
Detlef Nauck, BT
Debisree Ray, U.S. Steel / Big River Steel
Fatemeh Torabi, Health Data Research UK
Isabel Sassoon, Brunel University

Advertising and sponsorship

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