We're using supervised machine learning to organise all the content on GOV.UK, which means we can do things like create step by step journeys and consider voice activation. Here's what the data science team did.
One of the questions the data science team at the Government Digital Service (GDS) often gets asked is ‘how does your team work on data science projects?’ We thought we’d blog about how we have evolved our approach to data …
Apply to the Data Science Accelerator programme by 15 October, and you could begin developing your data science skills before the end of 2018.
There’s not much time left to apply for the Data Science Accelerator programme if you’re interested in developing your data science skills. Take a look at some of the successful projects our previous graduates have worked on.
The Data Science Accelerator programme is open again for applications until 12 June. Don’t miss out.
At GDS we believe that making things open makes things better, which is why I recently participated in an open peer review of open code written by Public Health England for analysing their open data.
In looking at how we can improve the publishing of organogram data, the data.gov.uk team has been investigating how our organogram visualisation tool is being used and whether it’s meeting user needs.
Across government, departments are building data capability by recruiting analysts and data scientists to support decision making, operational delivery and help deliver Government transformation. The Government Data Science Partnership has supported this activity by developing training, capability programmes and an …
The Data Science Accelerator, now in its third year, is a capability-building programme which gives analysts from across the public sector the opportunity to develop their data science skills by delivering a project of real business value. The Accelerator runs …
In March, we blogged about our work with analysts across government to transform the way we produce official statistics. We borrowed ideas from software development and academia to demonstrate what this might look like. We called the project ‘RAP’, which stands for Reproducible Analytical Pipelines.
Digital analytics and other data sets tell us what is happening, and user research helps us understand why. So, working together, our two disciplines can provide richer insight for our colleagues in multidisciplinary teams. In October, between 70 and 80 …
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