Projects

Using new shipping data to improve government understanding of trade flows

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.

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Using Sentinel-2 images to measure the change in tree coverage in eastern Uganda: what does it mean for the Mbale Trees Programme?

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.

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Business man commuter with smartphone on the way to work outdoors in city, coronavirus concept.

Case study: 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.

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A concept image of the novel coronavirus.

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.

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Worker 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.

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Employing data science to analyse the use of preferential tariffs in free trade agreements

Preference utilisation rates (PURs) measure the extent to which UK businesses make use of the zero or reduced tariffs available via free trade agreements (FTAs). In this work, we study the take-up of preferential tariffs by UK businesses between 2009 and 2019 and examine their trends and patterns.

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Exploring the value of social media data

Social media is such a key part of everyday life and with the data readily available online, it has the potential to change the way we collect information to understand society. However, it is paramount that data sources used in the production of official statistics are accurate, relevant, unbiased, and most importantly, they must be used ethically.

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