We have been partnering with the European Statistical System Network (ESSnet) Trusted Smart Statistics – Web Intelligence Network project (WIN) since April 2021. With the objective of providing comparable statistics at EU level for all members.
We show how shipping instructions can be used to map the trade routes of critical goods. This will help understand our reliance on global ports for accessing specific products, and draw insights on the impact of important events such as strikes.
We have published data to help researchers and local planners understand how public transport access varies across the UK, using open data and open-source software.
We used machine learning to develop a model to identify areas of trees from satellite images in eastern Uganda, where the Mbale Trees Programme has been running since 2010.
The Campus has delivered a suite of tools and code to North of Tyne Combined Authority (NTCA) to support their work to prioritise broadband infrastructure improvements in the region.
Campus data scientists achieved an impressive third place in the UN PET Lab hackathon, competing against nearly 200 international teams. Read about their experience and approach during the competition.
In this guest blog, data science apprentice Evie Brown from the Social Care Analysis team at the Office for National Statistics (ONS) presents work on grouping online job adverts by social care role. This project was a significant part of the final year of the Level Six Data Science Apprenticeship.
Read more on Identifying different roles in the social care sector using online job advertisementsFind out more about the Government Data Science Community’s events and opportunities in 2022. The community is a vibrant space for analysts and data scientists in the UK public sector.
Read more on The Government Data Science Community in 2022This summer, the Campus faculty hosted two groups of students to engage them in a unique work experience that helped them gain valuable workplace skills.
Read more on Opening our doors to future talent