Impact stories The Turing works with a range of partners with far-reaching, real-world impact across sectors Impact stories
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
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
Recruitment AI UK 2023: Call for demonstrations We are pleased to announce we are now accepting proposals for the AI UK AI UK 2023: Call for demonstrations
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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Physics-informed statistical learning of battery lifetime Developing physics-informed machine learning of dynamical systems with applications to battery degradation
