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
Real-time data assimilation for digital twins Developing methods to improve the use of real-time data in system representations
Causal inference for improved cybersecurity threat detection Understanding the causal links in the tactics and techniques of cyberattacks
Understanding Arctic sea ice loss Using machine learning techniques to understand the complex interactions between climate and Arctic sea ice
Streaming data modelling for real-time monitoring and forecasting Developing scalable algorithms for extracting useful information from large, complex and ever-growing data sets in near real time
Bringing the social city to the smart city Using AI and machine learning to understand and simulate cities
Performance tuning of systems Investigating how to automate performance tuning of systems, where parameter space is high-dimensional and complex
An MBO scheme for clustering and semi-supervised clustering of signed networks We introduce a principled method for the signed clustering problem, where the goal is... M. Cucuringu, A. Pizzoferrato, Y. van Gennip, An MBO scheme for clustering and semi-supervised clustering of signed networks, (arXiv) (2019)
Does Better Governance Guarantee Less Corruption? Evidence of Loss in Effectiveness of the Rule of Law Guerrero, Omar A and Castañeda Ramos, Gonzalo, Does Better Governance Guarantee Less Corruption? Evidence of Loss in Effectiveness of the Rule of Law (2019). Available: https://arxiv.org/abs/1902.00428
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
Towards Autonomous Robotic Systems Conference (TAROS) Wednesday 03 Jul 2019 - Friday 05 Jul 2019 Time: 09:00 - 18:00
Urban analytics at the interface between environment, human health and behaviour Tuesday 02 Jul 2019 - Thursday 04 Jul 2019 Time: 09:00 - 18:00
Interpretation, modelling and verification of information How data science and artificial intelligence help people understand/handle information correctly?
Data-centric biological design and engineering How can AI support the practical engineering of biology to tackle global challenges?
Machine learning and dynamical systems How do we analyse dynamical systems on the basis of observed data, rather than attempt to study them analytically?
Rough paths: machine learning for sequential data How can rough path theory help us understand complex streams of data?