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Digital, Data and Technology
GDS’s open standards lead Terence Eden joins us on our latest podcast. He talks about his mission to make government more open and the risks and rewards of emerging technology.
Last month GDS was at TeenTech City 2018 - an event showcasing tech and science careers - where we introduced school pupils to AI through doodling and games of noughts-and-crosses.
The GDS Better Use Of Data has won an award for the Data Science Accelerator programme which we run in conjunction with the Government Data Science Partnership. The award recognised the impact of the programme across the UK public sector, helping to increase data capabilities through the delivery of mentored projects.
GDS has used pair programming since its inception. It plays an important role in building our services. In this post, Pea Tyczynska explains how to pair programme effectively in 6 steps.
Lorna Tang worked with Citizens Advice and its data for 7 months. In this post, she explains how this continued collaboration improves government services, content, policy and user experience.
Innovations in data science provide huge opportunities to improve the way we develop policy, and design and deliver public services. We need to make sure that we are responsible in the way we use data. So, last year, GDS published the beta version of the Data Science Ethical Framework.
We've just updated the Technology Code of Practice, which sets the standard for how government should design, build and buy technology. The updates we’ve just made allow continuous iteration, and we expect that the Code of Practice will constantly evolve, and keep up when technology changes.
For any service to be put in front of the public, it has to meet the Digital Service Standard, a set of 18 criteria. One of them is that all new source code is made open and published under an open source licence. In this post, Anna Shipman explains why coding in the open makes things better.
Alan Rider from the Department for Transport (DfT) talks about developing the DfT Digital Data Index and how the team went about determining its users' needs.