Analysis in Government (AiG) Month Week 3: Innovative data and analytical techniques

As well as a packed schedule of live events for this year’s Analysis in Government month, we also have a range of learning resources released each week themed to the sessions to further your learning.

Dip into insightful blogs and articles between events with in the Byte sized learning section or find out where you can expand your knowledge with resources and eLearning in our Taking it further section.


Byte sized learning

Innovative data use

MoJ’s Data Strategy – one year on

Read about the Ministry of Justice (MoJ) data strategy to improve justice outcomes through data-driven insight and innovation, ahead of Tuesday’s session ‘Data First: Harnessing the potential of linked administrative data for the justice system’.

Data linkage guidance

The government holds an enormous amount of data. By using it effectively, we provide insight, drive policy change and answer society’s most important questions. While datasets are useful on their own, bringing them together means that we can take advantage of the combined resource that they offer.

An evidence-driven journey to understanding equality

Connie Becker from the Data Analytics team at Essex County Council, writes about how statistics have played a crucial part in providing the best care for Essex citizens.

Visa holders entering the UK under the Ukraine Humanitarian Schemes: 27 April to 15 May 2023

Following on from the ONS session on setting up rapid response surveys to support displaced Ukrainians, read the statistical bulletin on experiences of those entering the UK under the Ukraine Humanitarian Schemes.

Innovative tools and techniques

Ofqual analytics

Want to know more after Thursday’s session from Ofqual on equalities analysis? Ofqual Analytics presents a selection of interactive visualisations to allow users to explore the data Ofqual collects on the qualifications system in England.

Enhancing open-access data analysis: introducing the Journey Time Statistics R and Python packages

In this Data Science blog post, Federico Botta and Robin Lovelace talk about working as data science fellows with the data science team at 10 Downing Street and the ONS Data Science Campus, using transport data from the Department for Transport to create Journey Time Statistics R and Python packages.

Which towns attract people with advanced education?

Explore a new ONS interactive tool to discover how many people with advanced and higher education qualifications stayed in or returned to the towns they grew up in. The tool was also praised by Torsten Bell, Chief Executive of the Resolution Foundation.

Global Accessibility Awareness Day

We have put together some excellent resources to celebrate the 13th Global Accessibility Awareness Day (GAAD) on May 16, which is to promote digital access and inclusion for all.

Accessibility legislation: what you need to know

Analysis Function guidance explains why it is important for government analysts to make their work accessible and the consequences for inaccessible content.

Text descriptions for data visualisations

This blog post by Sean Snee from the Analysis Function talks about the importance of alternative text when creating data visualisations.

Paving the way for accessible data science training in the public sector

This blog post by Jake Marshall, a lecturer at the Data Science Campus discusses making their data science training more accessible.

AI-Generated Images from AI-Generated Alt Text

Adrian Roselli explores the topic of AI and accessibility, as claims are being made that AI could make up for things like a lack of human-provided alt text. He feeds several different images into different software/browsers and has them generate alt text descriptions for the images.

Taking it further…


Institute for Government: Data Bites #49: Getting things done with data in government

1 hour 31 minutes
Better use of data is key to more effective government. Across government, teams are doing fascinating work with data. In an exciting quickfire format, speakers from across government present their innovative work.

How bad data keeps us from good

10 minutes
The future economy won’t be built by people and factories, but by algorithms and artificial intelligence, says data scientist Mainak Mazumdar. But what happens when these algorithms get trained on biased data? Drawing on examples from Shanghai to New York City, Mazumdar shows how less-than-quality data leads to AI that makes wrong decisions and predictions — and reveals three infrastructural resets needed to make ethical AI possible.


Data visualisation e-learning

An introductory level course from the Analysis Function for anyone who creates data visualisations for internal or external communications. Made up of 11 modules, it shows how to make data visualisations more accessible to all.

UK Data Service Learning Hub

The UK Data Service is the principal repository for economic, population, and social research data in the UK. Find a range of eLearning to enhance your data skills and teaching.

Just for fun

Make sure to follow Analysis Function on X for daily quizzes, polls and games throughout Aig Month!

Don’t forget to book your tickets!

Go straight to the Analysis Function Eventbrite page to find our full calendar of events.