UK data science on a global stage
At the World Expo in Dubai, we supported other National Statistics Organisations to develop their data science capability by delivering a series of workshops, training sessions and discussions.
Data Science and Data Visualisation Accelerator
Applications for the Data Science and Data Visualisation Accelerator mentoring programmes are now open until 7 July 2022.
Evaluating synthetic data using SynthGauge
Data synthesis is an active area of research for many organisations, including the Office for National Statistics (ONS). SynthGauge is a Python library that provides decision-makers with a range of metrics and visualisations for evaluating synthetic data.
International Data Science Accelerator Programme
We now offer International Data Science Mentor Clinics to inform potential mentors how mentoring internationally works. Our next clinic is on Thursday 23 June 2022.
Responding to the coronavirus pandemic using aggregated BT mobility data
To support the national fight against coronavirus (COVID-19) in March 2020, BT made aggregate, anonymised mobility data available to the UK Government. We quickly turned this into daily updates, with only one day’s delay between activity and the reporting of it.
Predicting cattle camp locations in South Sudan from Sentinel 2 satellite imagery
Cattle are central to many people’s livelihoods in South Sudan, but there are very few recent data on the number of animals and their geographic distribution. Building on previous work, this blog explores new methods, based on convolutional neural networks, that can better distinguish cattle camps from similar landscape features.
Latest News
Use of hybrid data to understand the community-level influences on coronavirus (COVID-19) incidence
Understanding and monitoring the major influences on COVID-19 infection numbers in communities is essential to inform policy making and evaluate the impact of non-pharmaceutical interventions. We have developed a community-level analysis by assembling a large set of static and dynamic data for England.
Read more on Use of hybrid data to understand the community-level influences on coronavirus (COVID-19) incidenceWorker shortages: A window on labour demand during the coronavirus (COVID-19) pandemic
The UK’s exit from the European Union created uncertainty about workers across a range of sectors, exacerbated by concerns over workers leaving the country and the impact on labour supply. The coronavirus (COVID-19) pandemic created additional and sudden changes, with sectors being affected heterogeneously and demand switching from services to goods.
Read more on Worker shortages: A window on labour demand during the coronavirus (COVID-19) pandemicThe Data Science Campus – five years of data science for public good
On 27 March 2017, with an audience of UK and international data science leaders from across the public, private and academic sectors, a team of 8, some brilliant presentations, and a lot of excitement, the Data Science Campus was launched. 5 years later, Louisa Nolan shares what have we learned along the way.
Read more on The Data Science Campus – five years of data science for public good