The Data Science Accelerator is a cross-government training programme. It’s backed by GDS, the Office for National Statistics, Government Office for Science, and the analytical professions (statistics, economics, operational research and social research). Forty-one people from 26 organisations across the …
GDS have now run 5 rounds of the Data Science Accelerator, and several participants have since gone on to roles where they can use their new skills. We are proud of this success. The Accelerator is a truly cross-government programme, …
There was a real buzz for our 8th Data Science Show and Tell. It was more crowded than ever - many people came for the first time. There were lots of great questions with a networking session after. Look out …
A year and a half ago, two GDS Designers asked me, “Can you show us how Highway Code content on the GOV.UK site is performing?” This would have been a simple request, were it not for the sheer number of pages …
We’ve recently invited another round of applications to the Data Science Accelerator Programme. This blog gives you a taster of what that involves. It covers recent Accelerator projects and our latest Data Science Show and Tell (where 2 of these projects …
...on Data Engineering GDS’s very own Data Architect, Andy Delaney, laid the foundation for the abundance of form and variety in the word of Big Data with his enlightening overview...
How does digital government in the UK compare to other countries? The Organisation for Economic Cooperation and Development (OECD) measures this in Government at a Glance. According to this report, the UK does well at publishing open data and managing …
...bewildering variety of methods. The choice depends on the problem at hand - the best algorithm for one particular dataset could perform poorly on another task. In this blog, we...
Usually at our Data Science Show and Tell events there are presentations on successful projects. This time we decided to turn that idea around and look at ‘celebrating our failures’. Why? Because in our day to day data science work failure is …
...models to predict the occupation codes for the injuries. In the current reporting process the free text is still collected but, due to resource constraints, the coded SOC information is...
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