The Turing Lectures A series of inspiring talks by leading figures in data science and AI The Turing Lectures
Impact stories The Turing works with a range of partners with far-reaching, real-world impact across sectors Impact stories
The Turing Podcast The Institute's podcast for discussions on all things data science, AI and machine learning The Turing Podcast
Equality, diversity and inclusion To make great leaps in research, we need to better reflect the diverse nature of the world Equality, diversity and inclusion
Research projects Simulating energy efficiency opportunities for households Developing synthetic housing microsimulation tools for local authorities to explore inequalities in energy efficiency and target homes in need of retrofit and fuel poverty support Simulating energy efficiency opportunities for households
Research publications and software Trustworthy Assurance of Digital Mental Healthcare There is a culture of distrust surrounding the development and use of digital mental... Citation information PDF: Burr, C. and Powell, R... Trustworthy Assurance of Digital Mental Healthcare
Research spotlight Premdeep Gill Enrichment student Premdeep Gill is studying Antarctic seals and their sea ice habitats through satellite data, to better understand how they are coping with climate change Premdeep Gill
Research spotlight Erin Young As co-lead of the Turing’s Women in Data Science and AI project, Research Fellow Erin Young’s vital research maps the gendered career trajectories in data science and AI Erin Young
Event Turing TIN Data Study Group – February 2023 Monday 13 Feb 2023 - Friday 03 Mar 2023 Time: 09:00 - 17:00 Turing TIN Data Study Group – February 2023
Data Study Groups Events bringing together some of the country’s top talent from data science, artificial intelligence, and wider fields, to analyse real-world data science challenges Data Study Groups
Partnering with the Turing We work with a wide range of partners to help deliver our mission of changing the world using data science and artificial intelligence Partnering with the Turing
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Quantitative Urban ANalyTics (QUANT) A land use transportation model simulating the location of employment, population and transport interactions
Ground truth for mental health data science Linking digital footprint data in the UK birth cohorts to guide the next generation of algorithms for mental health and wellbeing research
Project Odysseus – Understanding London ‘busyness’ and exiting lockdown Capturing activity over London to better understand 'busyness' and aid effective policy-making strategies for exiting the pandemic lockdown
Digital twins for multiphase flow systems Integrating data, physics and machine learning to develop rapid predictive models for engineered multiphase flow systems
AI for control problems Using a competition platform to accelerate progress in data-driven control problems
Synthetic population estimation and scenario projection Producing high resolution population projections and a framework for exploring future scenarios
Turing GeoVisualization Engine Developing a web-based visual analytics tool for geo-spatial data science
Digital twins for infrastructure and construction Developing the mathematical and statistical underpinnings of digital twins of assets such as bridges
An analytics dashboard for A&E Developing a digital tool that uses advanced analytics to assist A&E nurses in safely triaging the most critical patients
Research Engineering Connecting research to applications, helping create usable and sustainable tools, practices and systems.
AI Assistants: A Framework for Semi-Automated Data Wrangling Data wrangling tasks such as obtaining and linking data from various sources, transforming data... Petricek, Tomas; van den Burg, Gerrit J. J.; Nazábal, Alfredo; Ceritli, Taha; Jiménez-Ruiz, Ernesto; Williams, Christopher K. I. "AI Assistants: A Framework for Semi-Automated Data Wrangling". IEEE Transactions on Knowledge and Data Engineering 2022
Why practical data analytics is still so painful... and how we can help Datadiff Often an analyst is given a number of datasets from successive time periods... Wednesday 06 May 2020
In praise of research engineering A personal story from a departing Senior Research Data Scientist Wednesday 26 Jun 2019
Reliability and reproducibility in computational science Friday 24 Jan 2020 Time: 09:30 - 17:00 Peter V. Coveney Dan Crommelin Onnie Luk Nick Malleson Anna Nikishova
Software Citation Monday 13 May 2019 - Tuesday 14 May 2019 Time: 13:00 - 16:30 Kirstie Whitaker James Hetherington
Helping London to navigate lockdown safely Project Odysseus monitors activity on the streets of London, allowing authorities to make interventions to keep people socially distanced
A machine learning revolution in disaster response Turing researchers have combined crowd-sourcing, machine learning and neural networks to rapidly reveal the many dimensions of natural disasters, deploying the technology in the aftermath of Hurricane Dorian
Understanding urban air quality Turing researchers are working with the Greater London Authority to use machine learning and statistical methodology to better analyse air pollution sensor data, design better policy interventions, and improve urban quality of life
Making simulations simpler Software engineers at the Turing, in collaboration with partners at Imperial College and UCL, have developed a user interface which aims to make running simulations more user-friendly, for both academic and industrial communities
Data science for engineering structural integrity How can data science be used to improve the assessment of structural integrity across engineering sectors?