Advancing Data Science in Official Statistics – The Policy Problem

In this article, we introduce a new approach for the US Census Bureau to produce statistical products using survey, administrative, procedural and opportunity data. This is the first in a series of four articles describing the development of the Curated Data Enterprise Framework.

Welcome to Real World Data Science, a new project from the Royal Statistical Society, in partnership with the American Statistical Association. We bring together data science students, practitioners, leaders, and educators to share knowledge, learn from, and be inspired by real-world applications of data science.

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Close-up of a copy of the Nobel Prize Medal. Photographed on the floor of the Nobel Museum in Old Town, Stockholm. Machine learning came up a winner in both the Physics and Chemistry Nobel Prizes for 2024. Credit Shutterstock.

The machine learning victories at the 2024 Nobel Prize Awards and how to explain them
Machine learning using apparently different architectures bagged the 2024 Nobel Prizes for Physics and Chemistry. Anna Demming reports on what the prizes were awarded for…
Anna Demming
Oct 31, 2024

Muted. In the absence of proactive intervention, the shift of debate and discourse online risks muting women and girls as multiple factors exclude them from engaging there as productively as male counterparts. Copyright Park Kang Hun/Shutterstock.

Are we at risk of muting the female voice in the digital world?

Anna Demming reports on recent insights into the interplay between gender disparities on and offline and what might help to close the gap.

Anna Demming
Sep 17, 2024

An image of the cover of the RSS Data Science and Artificial Intelligence

New open access journal - RSS: Data Science and Artificial Intelligence
The Royal Statistical Society is launching its new fully open access journal, RSS: Data Science and Artificial Intelligence with a remit to publish research on statistics…
Aug 1, 2024
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Is data science a new and exciting set of skills, necessary for analyzing 21st century data? Or is it (as some have claimed) a rebranding of statistics, which has carefully developed time-honored methods for data analysis over the past century? In this article, we use two popular data science algorithms to examine the difference between data science, statistics, and other occupations.

Jonathan Auerbach, David Kepplinger, and Nicholas Rios ask, ‘What is data science?’

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Generative AI is based on neural networks, which are so-called ‘black boxes’. This makes it difficult or impossible to explain the inner workings of the model which has potential implications if in the future you are challenged to justify decisioning or guidance based on the model.

Excerpt from the UK government’s framework for the use of generative AI

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