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Data science at Nesta
Ideas, reflections, tips and tricks from Nesta’s data science, data engineering and data visualisation teams
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Measuring Workforce Greenness via Job Adverts: Part 3, Skills
Measuring Workforce Greenness via Job Adverts: Part 3, Skills
How we find green skills in job adverts.
Liz Gallagher
Mar 27
How to Use GitHub Actions to Automate Data Scraping
How to Use GitHub Actions to Automate Data Scraping
A tutorial and evaluation of GitHub Actions for automating a data scraping pipeline in Python
Tom Willcocks
Mar 21
How to create network visualisations with Gephi: A step by step tutorial
How to create network visualisations with Gephi: A step by step tutorial
In this tutorial, I will give you a brief introduction to Gephi, a network visualisation tool. This guide will also briefly explain why…
Izzy Stewart
Mar 11
4 Simple Steps to Develop a WhatsApp Support Chatbot (Using LLMs, OpenAI & Python)
4 Simple Steps to Develop a WhatsApp Support Chatbot (Using LLMs, OpenAI & Python)
In this blog, we explore how to develop a WhatsApp chatbot powered by a large language model (LLM) that can help people easily access…
Aidan Kelly
Feb 13
Measuring Workforce Greenness via Job Adverts: Part 2, Occupation
Measuring Workforce Greenness via Job Adverts: Part 2, Occupation
How we link green occupation data to our dataset of job adverts.
Liz Gallagher
Jan 15
Measuring Workforce Greenness via Job Adverts: Part 1, Industry
Measuring Workforce Greenness via Job Adverts: Part 1, Industry
At Nesta, we’re measuring the greenness of every job, business and sector to help facilitate the transition of the UK workforce to net…
India Kerle
Dec 5, 2023
Meaningful data design and bringing people on the journey
Meaningful data design and bringing people on the journey
Mixed methods approaches for developing data-informed products that deliver efficiency, improve outcomes and develop mutually-beneficial…
Tom French
Oct 27, 2023
Beyond the hype: GPT-4 vs traditional machine learning for imputing missing data
Beyond the hype: GPT-4 vs traditional machine learning for imputing missing data
A comparison of GPT-4 vs. k-nearest neighbours regression for filling in missing nutritional data
Emily Bicks
Oct 17, 2023
Mapping career causeways with the Sussex Chamber of Commerce
Mapping career causeways with the Sussex Chamber of Commerce
We have built a demonstrator tool that is linked to the Future Skills Sussex website that leverages the algorithm described in our Mapping…
Emily Bicks
Sep 28, 2023
Tutorial: data-driven news discourse analysis with Python (Part 2)
Tutorial: data-driven news discourse analysis with Python (Part 2)
Measure word collocations, use spaCy to extract linguistic features, and consider LLMs in speeding up your discourse analysis
Karlis Kanders
Sep 25, 2023
Tutorial: data-driven news discourse analysis with Python (Part 1)
Tutorial: data-driven news discourse analysis with Python (Part 1)
Start piecing together the narrative by collecting news articles, analysing trends and using sentence embeddings to uncover themes
Karlis Kanders
Sep 25, 2023
Building a taxonomy of innovation
Building a taxonomy of innovation
An overview of our approach to build, validate and label a five-level taxonomy of research topics in the UK, along with instructions to…
Emily Bicks
Aug 16, 2023
Mapping Health Apps
Mapping Health Apps
From mindfulness to diet tracking, health apps have the potential to help people lead healthier lives.
Iman Muse
Jun 20, 2023
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