Critical perspectives on the stories, themes, challenges and opportunities shaping data science. In this section: Editors’ blog | Interviews | Newsletter
Real World Data Science speaks with statistician and data scientist Heidi Seibold about open science: what it means, the benefits of it, and how to move towards it.
ChatGPT represents a next step in the evolution of large language models, says Detlef Nauck. However, there are still major challenges - and concerns - to overcome.
Author Erica Thompson talks to Real World Data Science about the ‘social element’ of mathematical modelling, how it manifests, and what to do about it.
Join us at the RSS International Conference 2023 in Harrogate, 4-7 September.
We’re starting the year with a new addition to the site: a page dedicated to the excellent RSS Data Science & AI Section newsletter.
Today we’re launching DataScienceBites – a new member of the ScienceBites family – offering bite-sized summaries of data science papers.
We’re back discussing large language models after two weeks of ‘breakthrough’ announcements, excitable headlines, and some all-too-familiar ethical concerns.
Can data science save the world? What is a data scientist? What statistical ideas do data scientists need to know? And, what’s happening in the world of data science?
The outputs of LLMs seem impressive, but users need to be wary of possible bias, plagiarism and model ‘hallucinations’.
Introducing the editors of Real World Data Science.