GOV.UK
Running a digital speed learning session
Running a digital speed learning session
DfT’s first ever digital speed learning event took place last month as part of our ‘Learning At Work Week’.
Working in an Agile team as a novice
A year ago, I joined the Crossing Thresholds programme, which is for women who want to develop their career in a structured and supportive environment.
DfT Hacks: our first external hackathon
A hackathon is an event where problems and challenges are solved innovatively, using data and technology.
Data sharing and collaboration in the West Midlands
One of the major challenges for reducing congestion and improving journey information is the sharing and use of road-related data between different organisations.
This time it's persona(l) – starting the DfT data index alpha
Making it easier to find and use data will help us do our jobs better - improving services and developing evidence based policy.
Findings from our data discovery
We recently blogged about the start of our project to see if we could create an index for our data to make it easier to find and use.
Station to Station: passenger information trials at London Bridge
The rebuild of London Bridge station, as part of the Thameslink Programme, presented us with a great opportunity to try out some new ways of helping people find their way around a busy station.
Seek and you may find: digital data index discovery
Ever sat down to start on a piece of work and thought, “Where do I find the information I need to do this?”
First among sequels: DfT Hack Club 2
Earlier this month, DfT ran its second Hack Club event, where prototype services are built from scratch in double quick time.
Driving innovation: building apps with Highways England data
Highways England (which replaced the Highways Agency in 2015) is at the beginning of a journey to improve the quality of its data.
Rated R: Effective applications of the R language
Along with Python, the R programming language is one of the most popular open source technologies for data science work.