The Turing Lectures A series of inspiring talks by leading figures in data science and AI The Turing Lectures
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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
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Digital twins for high-value engineering applications (DTHIVE) Developing digital twins for engineering applications using modelling, data, and connectivity
Quantitative Urban ANalyTics (QUANT) A land use transportation model simulating the location of employment, population and transport interactions
The eye: a window into brain cardiovascular disease Uncovering retinal microvascular predictors of compromised brain haemodynamics in small vessel disease
Shocks and resilience Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
New data forms for transport policies Using new types of digital data to support more sustainable travel choices, reducing health, energy, security and other impacts to improve urban lifestyles
Pinpointing molecular mechanisms of complex disease Combining population and molecular data to pinpoint disease causing DNA changes
Uncertainty quantification of multi-scale and multi-physics computer models Developing new tools to investigate and quantify uncertainties in computer models, with applications to climate, earthquake and tsunami models
Detecting anomalies in the VAT network Developing tools to identify abnormal data events (and fraudulent behaviour) in the VAT transactions network
Optimal execution strategy with an uncertain volume target In a seminal 2001 paper on the optimal execution of portfolio transactions, Almgren and... J. Vaes and R. Hauser. Optimal trade execution with uncertain volume target. Journal of Computational Finance, 26(1), 2022. doi:10.21314/JCF.2022.018
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
Mathematics and data Thursday 12 Sep 2019 Time: 10:00 - 18:00 Alexander Gorban Felipe Rincon Ginestra Bianconi John Oprea Nati Linial Shay Moran
Data science for engineering structural integrity How can data science be used to improve the assessment of structural integrity across engineering sectors?
Machine learning and dynamical systems How do we analyse dynamical systems on the basis of observed data, rather than attempt to study them analytically?