Introduction
Researchers and practitioners face a common need for high quality tools, practices, methodologies, platforms and systems.
Many domains can benefit from the deployment of cutting-edge algorithms and approaches, but these cannot be effectively applied unless realised as usable software libraries, reproducible analyses and workflows, or high performance computational environments.
The Research Engineering Group (REG) contributes skills in research software engineering and data science in support of other programmes, as well as to its own projects. This model of working ensures that the tools they develop are useful and applicable to a wider range of areas. The team supports professional delivery of impactful research across the Turing's programmes, as well as its own research interests.
The team concentrate mainly on:
- Collaboration with academics across the Institute and supporting research with our software engineering and data science expertise.
- Development of open reproducible practices and tools.
- Connecting academic research with real-world problems while working with strategic commercial partners.
- Advanced support and provision of computing platforms that underpin research.
- Teaching and training.
If you want to learn more about how we do work, visit our handbook. For the latest updates and insights, follow us on X (formerly Twitter) at @turinghut23, Mastodon @hut23, or LinkedIn.
Header image: Close up of a Bletchley Park Bombe, designed by Alan Turing and his colleagues to decipher German Enigma machine messages in WW2. Source: mendhak, Flickr, Creative Commons.
Helpful links
Impact stories
Read about some of our project highlights. See here for a complete list.
Demonstrating the power of AI in land use planning
Partnering with the Geospatial Commission to simulate the effects of planning decisions on residents’ quality of life
Enabling researchers to work safely with sensitive data
Our open-source project is making it easier for other organisations to create secure computing environments
Revealing hidden details of the ocean floor
An algorithm that automatically detects and classifies marine creatures called sea pens
Projects
Research Engineering is involved in many projects across the Turing, collaborating both with academics and strategic commercial partners.
Below is the list of our most recent projects, the full list can be found here.
Input-output analytics for urban systems
Investigating inter-city trade flows in contemporary and historical contexts
App-based information governance for trustworthy research environments
Delivering an open source 'information governance system in a box' to support data protection in trustworthy research environments
Optimising flow within mobility systems with AI
Using interactive data visualisation, mathematical and computer modelling, and machine learning to transform the way cities are planned and urban traffic is managed
Blogs and News Stories
For a full list of blogs and news associated with REG see here.
Open-source software: why it matters and how to get involved
Turing community members explore the benefits of open ways of working
Using generative AI to write code: a guide for researchers
Some tips for making the most of generative AI from the Turing’s software engineers
Can data science help us to predict the winner of Eurovision 2023?
The latest instalment of the Turing Data Stories project explores what data can tell us about the history of the songwriting contest – and perhaps who this year’s winner will be
Events
The most recent events involving REG are shown below. For a complete list see here.
The Turing Lectures: Addressing the risks of generative AI
Clinical AI Summer School
Pint of Science
Publications
Below is the list of our most recent publications, the full list can be found here.