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
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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Input-output analytics for urban systems Investigating inter-city trade flows in contemporary and historical contexts
Quantitative Urban ANalyTics (QUANT) A land use transportation model simulating the location of employment, population and transport interactions
Shocks and resilience Measuring policy impact in the COVID-19 crisis and building resilience against future shocks
Uncertainty quantification for black box models Developing methods for the quantification of uncertainty in complex numerical models
DECOVID Using detailed, frequently updated health data in a secure database, providing up to date information about patient care during the COVID-19 pandemic
Synthetic population estimation and scenario projection Producing high resolution population projections and a framework for exploring future scenarios
Statistics and the law: Probabilistic modelling of forensic evidence Using real casework to inform the development of probabilistic methods for evaluating complex forensic evidence
Flexible autonomy for swarm robotics Developing the fundamental elements needed for research into the design of large-scale swarm coordination systems that can be flexibly controlled by human operators
Revealing citation cartels in network data Developing methods to detect citation communities and analysing academic citation network data
Building a future for the urban analytics blueprint Wednesday 16 Oct 2019 - Friday 18 Oct 2019 Time: 10:00 - 17:00
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?
Uncertainty quantification How do we reliably account for uncertainties when mathematical and computational models are used to describe physical and social processes?