Search results for machine learning

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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The International Data Masterclass is a collaboration between the ONS, FCDO, ESCAP and UNSD. The course is designed to help…

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The use of microdata for firm-level analysis of preference tariff utilisation in the UK: technical report

We go behind our analysis on the use of microdata for the examination of preference tariff utilisation and take a deep dive into challenges of drawing together new administrative data sources to answer relevant policy questions.

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Identifying different roles in the social care sector using online job advertisements 

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. 

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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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The 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.

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Mentoring without borders – growing data science skills internationally

The International Data Science Accelerator Programme opened for its’ first applicants on 31 January. We spoke to Fatima Al Taharhwa (Department of Statistics, Jordan) and her mentor Hatem El Sherif (Federal Competitiveness and Statistics Centre, United Arab Emirates), who took part in the pilot programme.

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How effective mentoring relationships are growing data science skills and capacity

The relationship between the mentor and mentee is vital to successful outcomes on the Data Science Accelerator programme. Daniel O’Callaghan (Forestry Commission) and Sam Taylor (DWP) talk about their relationship that helped to deliver a successful project.

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Graduate Induction Week

In 2021, our highly successful Data Science Graduate Programme has been expanded across the UK pubic sector. We have offered 50 places on the programme, located in 10 public sector organisations. 25 places were offered to new graduates, selected from 511 applications. An additional 25 places have also been offered to 25 analysts already in posts, who want to significantly increase their data science skills.

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