The Turing Lectures A series of inspiring talks by leading figures in data science and AI The Turing Lectures
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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
Publication Trustworthy Assurance of Digital Mental Healthcare There is a culture of distrust surrounding the development and use of digital mental... 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
Network based recommender systems for public procurement A novel methodology for community detection and link prediction with applications in public procurement
Harms arising from targeted online 'nudging' Exploring what can be done to ensure that the influences of online ‘nudges’ do not become manipulative or harmful to vulnerable groups
Citizen participation and machine learning for a better democracy Using machine learning and natural language processing to overcome information overload in citizen participation platforms
Simulating cities with AI agents Developing new approaches for modelling human behaviour in cities, for simulating urban dynamics
The data science of music Applying data science and AI to music analysis and the lifecycle of musical works
Vote trading networks Building network science and data science methods to uncover hidden cooperation in democratic institutions
Artificial intelligence (Multi-agent systems) Developing the techniques to enable AI systems to effectively interact with each other: autonomously and safely cooperating, coordinating, and negotiating in the furtherance of our delegated goals.
research_publications Predicting Infectiousness for Proactive Contact Tracing The COVID-19 pandemic has spread rapidly worldwide, overwhelming manual contact tracing in many countries... Bengio, Yoshua, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Muller et al. "Predicting Infectiousness for Proactive Contact Tracing." ICLR 2020.
UK multi-agent systems symposium Monday 24 Feb 2020 Time: 10:00 - 17:00 Edward Hughes Yoram Bachrach Sam Devlin Subramanian Ramamoorthy Victoria Mico Egea
Vocal interactivity in-and-between humans, animals and robots Thursday 29 Aug 2019 - Friday 30 Aug 2019 Time: 09:00 - 17:00 Sonja Vernes Mohamed Chetouani Tecumseh Fitch Verena Rieser
Towards Autonomous Robotic Systems Conference (TAROS) Wednesday 03 Jul 2019 - Friday 05 Jul 2019 Time: 09:00 - 18:00
Automating the crowd Tuesday 22 Jan 2019 Time: 10:00 - 17:00 Anna Noel-Storr Paola Tubaro Ernst Hafen Tania Allard Melanie Smallman David Leslie
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?
Multi-agent systems How can research in multi-agent systems help us to address challenging real-world problems?
Economic data science How can we use modern computational and statistical methods to analyse economic data?