NHS Test and Trace asked us to extract insights from COVID-19 contact tracing app reviews to help them understand how the app could be improved.
Read more on Understanding NHS coronavirus (COVID-19) app reviews using topic modelling
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.
Read more on Case study: responding to the coronavirus pandemic using aggregated BT mobility data
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) incidence
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) pandemic
We have released a new version of our open codebase to enable the Traffic Cameras project to run on a single, stand-alone laptop as well as on Google Cloud Platform, making it more accessible to users without cloud infrastructure.
Read more on Estimating vehicle and pedestrian activity from town and city traffic cameras
Many countries in the developing world lack regular estimates of road traffic activity. To address this, we applied machine learning techniques to open-source satellite data to generate estimates of traffic volume in Kenya, East Africa.
Read more on Detecting Trucks in East Africa
In this report, we talk about our use of novel machine and deep learning techniques to explore changes in population behaviour and well-being during the coronavirus pandemic.
Read more on Using data science to explore changes in behaviour and well-being during the coronavirus (COVID-19) pandemic
We have been exploring Facebook data to understand changing patterns of mobility and the impact of lockdown restrictions.
Read more on Using Facebook data to understand changing mobility patterns
This blog outlines some of the work the Campus has been doing, bringing our skills together with new data sources to help inform responses to the coronavirus (COVID-19) pandemic.
Read more on Understanding mobility during the COVID-19 pandemic
We used text data from over 500,000 business websites to inform survey response-chasing efforts and gain insights into the impact of COVID-19.
Read more on Extracting text data from business website COVID-19 notices
We conducted a lessons learned exercise to help understand the challenges faced by our teams during the coronavirus (COVID-19) pandemic.
Read more on The hard reality of being a learning organisation
The latest update on our work with Barclays exploring if aggregated and anonymised card transactions data could provide significantly quicker, more granular insight into UK consumer spending.
Read more on Payments Data for Public Good
We are exploring new data sources such as Google’s Community Mobility Reports to strengthen the information that we have through surveys and other sources.
Read more on Supporting the response to coronavirus (COVID-19)