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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Trustworthy synthetic data in practice Building a toolbox to generate and evaluate the trustworthiness, scalability, and usability of synthetic data, and co-ordinating synthetic data research
Role of synthetic data in financial systems Investigating the role and use of synthetic data in financial systems
Synthetic data and privacy preservation Exploring the use of synthetic data generators, which offer a naturally private way to generate high-quality data that preserves the statistical features of the original dataset
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
Synthetic data generation for finance and economics Generating artificial business, finance, and economic data to enable data sharing, scenario simulation, and model validation
Trustworthy digital infrastructure for identity systems Enhancing the privacy and security of national digital identity systems
QUIPP – Quantifying utility and preserving privacy in synthetic data sets Understanding the balance between utility, privacy and the uncertainty associated with synthetic data sets
Donating personal transactional data for research Investigating the public acceptability of using commercial transactional data in public health research
Statistical secret sharing Developing methodology for multiple parties to securely share and unify their statistical inference, without having to reveal their inference or underlying data
Defence and security Collaborating with the defence and security community to deliver an ambitious programme of data science and artificial intelligence research
SecureABC: Secure antibody certificates for COVID-19 COVID-19 has resulted in unprecedented social distancing policies being enforced worldwide. As governments urgently... Chris Hicks*, David Butler*, Carsten Maple, Jon Crowcroft. SecureABC: Secure AntiBody Certificates for COVID-19. CoRR, abs/2005.11833. 2020.
Differentially private health tokens for estimating COVID-19 risk In the fight against Covid-19, many governments and businesses are in the process of... David Butler*, Chris Hicks*, James Bell, Carsten Maple, Jon Crowcroft. Differentially Private Health Tokens for Estimating COVID-19 Risk. appeared in NDSS CoronaDef 2021.
CIFAR-UKRI-CNRS AI & society: From principles to practice Monday 03 Jun 2019 - Tuesday 04 Jun 2019 Time: 09:00 - 18:30
Machine learning for radio frequency applications How do we generate robust, real-time machine learning algorithms with integrated hardware and software for radio frequency applications?
Trustworthy digital identity How can we understand, evaluate and advance the trustworthiness of digital identity systems?
Privacy-preserving data analysis How can we enable personal data to be shared without compromising our privacy?