The Turing Lectures A series of inspiring talks by leading figures in data science and AI The Turing Lectures
Impact The Turing works with a range of partners with far-reaching, real-world impact across sectors Impact
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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Scalable topological data analysis Developing software that enables meaningful conclusions to be drawn from the shape of massive, noisy, and potentially incomplete datasets
Enhancing critical ecosystems Using data analysis to enhance critical ecosystems like cities and farms, and the digital-physical systems that support them
Counterfactual fairness Making algorithm-led decisions fair by ensuring their outcomes are the same in the actual world and a 'counterfactual world' where an individual belongs to a different demographic
Co-designing algorithms and computer architecture Designing hardware to suit the needs of data science algorithms, which will similarly be designed to suit the capabilities of the hardware
London air quality Developing machine learning algorithms and data science platforms to understand and improve air quality over London
Cancer pre-diagnostic analytics with AI Creating a digital repository of a variety of tumour and immune cells and developing algorithms to recognise these cells automatically
research_publications Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation Since approval of the EU General Data Protection Regulation (GDPR) in 2016, it has... Wachter, S., Mittelstadt, B., & Floridi, L. (2017). Why a right to explanation of automated decision-making does not exist in the General Data Protection Regulation. International Data Privacy Law, 7(2), 76–99.
Masterclass: Machine Learning Theory Part 1; Probability Approximately Correct (PAC) Learning Monday 13 Mar 2017 Time: 17:37
Short Talks: Power of Human-Machine Collectives and Multilevel Monte Carlo Strategies Tuesday 07 Mar 2017 Time: 17:37
Information-Theoretic Foundations and Algorithms for Large-Scale Data Inference Thursday 17 Dec 2015 Time: 17:37